uk: Комп'ютерні науки

description: With the increased shift towards GeoSpatial Web Services on both the Web and mobile platforms especially in the usercentric services, there is a need to improve the query response time. The traditional routing algorithm requires server to process the query and send the results to a client but here we are focussing on query processing within the client itself. This paper attempts to evaluate the performance of an existing NoSQL database and SQL database with respect to routing algorithm and evaluate whether or not we can deploy the computations on the client system only. While SQL databases face the challenges of scalability and agility and are unable to take the The advantage of the abundant memory and processing power available these days, NoSQL databases are able to use some of these features to their advantage. The nonrelational databases are more suited for handling the dynamic rise in the data storage and the increased frequency of data accessibility. For this comparative study, MongoDB is the NoSQL engine while the PostgreSQL is the chosen SQL engine. The dataset is a synthetic dataset of road network with several nodes and we find the The distance between source and destination using various algorithms. As a part of paper The implementation we are planning on using pgRouting for the analysis which currently uses PostgreSQL at the backend and implements almost all the routing algorithms essential in practical scenarios. We have currently analyzed the performance of NoSQL databases for various spatial queries and have extended that work to routing. Initial results suggest that MongoDB performs faster by an average factor of 15x which increases exponentially as the path length and network data size increases in both indexed and nonindexed operations. This implies that nonrelational databases are more suited to the multiuser query systems and has the potential to be implemented in servers with limited computational power. Further studies are required to identify its appropriateness and incorporate a range of spatial algorithms within nonrelational databases.

uk: вхід без авторизації

name: Analysing the Performance of NoSQL vs SQL Databases with Respect to Routing Algorithms.


Kehinde Adewara

type: Person

cs: Informatika

de: Informatik

fi: tietojenkäsittelytiede

uk: Комп'ютерні науки

en: Computer Science

fr: Informatique

da: Datalogi

es: Ciencias de la Computación

nl: Informatica

cs: Technické vědy

de: Ingenieurwissenschaften

fi: tekniikka

uk: Інженерія

en: Engineering Sciences

fr: Ingénierie

da: Ingeniørvidenskab

es: Ingeniería

nl: Engineering

description: In view of recent proliferation of online/desktop routing tools (such as qgis road graph plugin, osm routing machine, google maps engine, routexl, OpenRouteService etc), it is imperatives to provide empirical evaluation of comparative strength and weakness of a number of predominant routing algorithms. This is crucial in view of its implication on the success and otherwise on routing related projects such as supply chain logistics, supply/delivery operations, and emergency services, among others. In this paper, comparative evaluation of these tools has been carried out in terms of weaknesses and strength with respect to healthcare delivery service through routine vaccine delivery in Kano, Nigeria. Kano state being one of the states in Nigeria with huge burden of health challenges with records of 3062 maternal death between 2005 – 2010 (Ibrahim, 2014). Thus vaccine delivery is one of such healthcare delivery programme used to addressing some of these health challenges. The primary objective of this paper is to demonstrate comparative advantage of using open source applications to optimize the vaccine delivery process such that there would be significant reduction in logistics and manpower (travel time I.e travel route distance, road type/quality, traffic and travel speed, vehicle/driver, delivery schedule, among other parameters). The capacity of few selected routing tools was evaluated against this backdrop. Hence drive test analysis was carried on selected number of delivery routes and the results were compared with values derived from routing using these tools. QGIS routing tool is the only desktop tool using OSM vector base map and a routing plugin (road graph) while others such as Google Map Engine, OpenRouteService, OSM Routing Machine, and RouteXl were all online platform. The drive test result was used as the benchmark for determining the best routing tool. The overall outcome indicated QGIS to have the closest routing value compared to drive test result for most of the considered delivery routes. This was largely as a result of rich content of the OSM vector base map (which our team had extensively worked on) as well as the geo-positioning of QGIS as primarily mapping software. This was the advantage QGIS had over others, even when compare with OSM RM that uses same base map with QGIS. OSM RM had deficiency in geo positioning accuracy thus explain slight discrepancy noted in OSM RM output compared with QGIS and drive test result. Google map engine routing output had capacity for multiple routing (origin to multiple destinations) but the content of the vector base map is very limited for Kano State. The response time to make amendment to google vector base map before it is available for routing usually takes 12 – 24hrs, longer than its take using JOSM. RouteXL is consistently constrained by geo-positioning accuracy which affects its routing output. The routing output derived from desktop QGIS powered by road graph plugin provide the best routing output compared to the output from drive test result but it is limited by the fact that it does not have provision for multiple (batch) routing.

TIB AV-Portal

type: Service

type: WebContent

type: MediaObject

@language: en

cs: přihlášení není vyžadováno

de: keine Anmeldung erforderlich

uk: вхід без авторизації

en: no login required

nl: geen login vereist

name: An Evaluation of Open Source Geographic Information Systems Routing Tools in Direct Vaccine Deilvery in Kano State, Northern Nigeria

type: Organization

name: Open Source Geospatial Foundation (OSGeo)

cs: Video

de: Video

fi: Video

uk: Відео

en: Video

fr: Vidéo

da: Video

nl: Video

es: Video


uk: Комп'ютерні науки

description: Spatial data infrastructure (SDI) plays an important role in the sharing and exchange of spatial information of the country, in this way, it has also played a major role in the development of the country's economy and society. In recent years, FOSS4G (Free Open Source Software for Geospatial) provides functionalities that are not inferior to commercial software, which lead to the diffusion of that software to the public and private sectors. Developing countries which have poor information infrastructures, there are increasing discussions about the adoption of FOSS4G to their national spatial data infrastructure (NSDI) in order to utilize the benefits of the foundation. As the benefits of FOSS4G adoption, it has suggested the low introduction cost and interoperability of software that does not depend on the specific software. But there are differences on the pros and cons of FOSS4G adoption to their NSDI because each country has their own economic and technological development stages and cultural and institutional differences. In this research, we will develop the framework to compare and evaluate the relationships between indicators on the developing countries' economic, technological development and factors in the introduction of FOSS4Gs to their NSDI and conduct a survey on the developing countries’ FOSS4G adoption to their NSDI with the help of UN GGIM(United Nations Global Geospatial Information Management) and KOICA. Thus, by comparing and evaluating each country's FOSS4G adoption to NSDI according to their countries' economic and technological development stage, we will identify the awareness of the adoption and propose a deployment strategy for overcoming the disadvantages when developing countries consider the introduction of FOSS4G to their NSDI.

uk: вхід без авторизації

name: A Cross National Comparison on the Awareness of Adopting FOSS4G to NSDI in Developing Countries


Congratulatory Remarks

uk: Комп'ютерні науки

@language: ko

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації

name: FOSS4G Seoul 2015 - Congratulatory Speech


FOSS4G Seoul 2015 - Welcome Speech

uk: Комп'ютерні науки

uk: вхід без авторизації


FOSS4G Seoul 2015 - Keynote speech

uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

description: The Sapporo Childcare Map developed by Code for Sapporo is an interactive map covering childcare facilities including daycare centers and kindergartens located in the city of Sapporo, Japan. The first version of the map was developed using OpenLayers 3 as the mapping library. The map allows users to search by operating hours, eligible ages, vacancies, and other parameters. The service helps parents to find childcare facilities based on various criteria. With the rising rate of double-income families, finding openings at public daycare centers in large cities is becoming more challenging. The childcare maps based on the Sapporo's system were also developed in other cities with support from Code for Japan.

uk: вхід без авторизації

name: Sapporo Childcare Map: Making the city makting the city a little better with FOSS4G


uk: Комп'ютерні науки

description: The following document covers an abstracct on our research on Localized Landmark model based on OSM data for Socialized Landmark based Navigation System. It is a group project which is been carried out by 4 students and our supervisor. The other to members are listed below. Dananjaya Thathsara - Sri Lanka Institute of Information Technology Irendra Koswatte - Sri Lanka Institute of Information Technology

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації

name: A Web-based Framework for Monitoring Spatial-temporal Clustering of Epidemics in Taiwan


uk: Комп'ютерні науки

description: WebSAFE (Web-based Scenario Assessment for Emergencies) is an impact assessment tool used in the Philippines to calculate the needs of a community considering the effects of a particular hazard. DOST-Project NOAH and The World Bank partnered in developing WebSAFE to increase the country's disaster preparedness measures. Using Project NOAH's LiDAR and IFSAR-based flood, landslide, and storm surge hazard maps for the whole country and OpenStreetMap information, WebSAFE aims to aid Local Government Units in their response toward disasters. A community of volunteer mappers for disaster risk reduction, called MapaSalba (a local pun that loosely translates to "to save using maps"), was also started last year to encourage local participation and enrich the OpenStreetMap database. All of these efforts were shown to contribute to the Philippines's generally improved disaster preparedness and over-all decline in human and economic losses from disasters for the past two years. WebSAFE uses InaSAFE API, a free and open source plugin for QGIS software. With the help of its developers, we modified and developed it into a web application. Project NOAH envisions a disaster-free Philippines where communities are empowered through open access to accurate, reliable and timely hazard and risk information.

uk: вхід без авторизації

name: WebSAFE: Developing an Online Exposure and Risk Assessment Tool for the Philippines


uk: Комп'ютерні науки

description: As a means of mitigating risks in a hazard-prone archipelago, the Philippine government through the Department of Science and Technology launched the Nationwide Operational Assessment of Hazards (DOST Project NOAH) on July 2012. This program aims to integrate various research and technology development efforts in improving flood, landslide and storm surge hazard maps and in instituting effective early warning systems for these hazards. These initiatives produced various geospatial datasets relating to hydrometerological hazards such as satellite imageries, LiDAR maps, Doppler radars, localized weather forecasting models and a vast nationwide network of automated weather and water level sensors. With such wealth of datasets, these information are processed and visualized through a near real-time web-based spatial data infrastructure. The NOAH website (www.noah.dost.gov.ph) serves as a information and communication platform for government agencies, rescue and disaster-related organizations and the general public to effectively prepare for impending hazards. Designed to be a web geographic information system, the NOAH website now uses Geoserver and OpenLayers API to handle, process, analyze hazard maps, and exposure and vulnerability datasets. Since the launch of the portal, thousands of lives had been saved from the dangers during the annual monsoon events since 2012, Supertyphoon Bopha in 2013 and in typhoons Rammasun and Hagupit in 2014.

uk: вхід без авторизації

name: Continuous Improvement of the NOAH Initiative through the Use of Free and Open Source Software


uk: Комп'ютерні науки

description: Korea is managing the water pollutants in the national institute of environmental research part of the ministry of environment. The national institute of environmental research is managing which was classified pollution of domestic, industry, livestock, aquaculture industry, land, basic environmental foundational facilities through investigation of pollution source all over the country, The national institute of environmental research, in order to efficiently manage the vast amounts of data, it is a graft of a variety of ways. Currently, methods are on the way of development for the management of the National source material through the GIS. In particular, a module of Plug-in form is developing by utilizing QGIS. In addition, data verification method is developing to check and confirm the national pollution source data. Also, the procedure of data verification and examination based on Open Source GIS were developed and utilized on the actual projects. The water pollution sources is managed efficiently utilizing Open Source GIS. Especially, Open Source GIS is introduced on government management plan and gradually utilized and with the case presentation like this, utilizing Open Source GIS can be discussed at the national level. Through such cases, it is possible to know that you Open Source GIS introduced at the national level.

uk: вхід без авторизації

name: Proposal of Water Pollution Sources Management based on Open Source GIS


uk: Комп'ютерні науки

description: Geo-search engines and location-based services allow to query for points-of-interest (POIs) in a certain region or next to the current user location. Hereby, search queries often ask for classes ('hotels New York', 'supermarket Berlin', 'Italian restaurant London') rather than single points ('Hotel Belvedere New York'). In OpenStreetMap (OSM), one can specify the basic class along with every POI e.g. via the amenity tag (amenity=fast_food), via direct tags (shop=supermarket) or several other specialized tags, as the cuisine tag for restaurants. These tags are mandatory for a certain POI to show up among the search results for a class-based query. Moreover they are useful to categorize search results, e.g. searching for 'Venice beach' should inform the user that there are beaches, hotels, fitness studios and clothing stores with that name. Unfortunately in OSM, there are plenty of POIs where the class is not provided. But many of those POIs exhibit a name tag ('Sunset Hotel', 'Wal Mart') which already contains some information about the respective class. In this paper, we investigate methods for automatic extrapolation of class, amenity and specialized tags solely based on POI names. For example, 'Pizzaria Bella Italia' most certainly indicates an Italian restaurant while 'Tapas Bar' indicates Spanish food. We use machine learning tools to extract for many amenities typical words and phrases that occur in associated name tags and learn respective POI classifiers. For example, learning indicators for 'shop=hairdresser' on German OSM tags led to high scores for 'fris', 'cut', hair' and 'haar'. While 'studio' and 'design' also appeared in many name tags, they are not suitable to distiguish between 'shop=hairdresser' and 'shop=beauty' with the latter including nail spas. For other kinds of POIs as supermarkets or gas stations, names of large chains ('ALDI', 'Aral') showed up as typical indicators. We empirically prove that with the help of our learned classifiers, tags for POIs with unknown class can be extrapolated with high accuracy. For example, amongst all hairdressers 8% were untagged but could be identified by our approach.

uk: вхід без авторизації

name: Automatic Improvement of Point-of-Interest Tags For Openstreetmap Data


uk: Комп'ютерні науки

description: The importance of place-based or platial-based research in the geosciences has been highlighted in recent publications by researchers Goodchild, Elwood, and Sui. They suggest that deep and direct location information is more frequently associated with place and placenames. The traditional spatial context in geosciences is geometry-based, But the human brain links the orientation and association of real-world objects or features by place names rather than by coordinates. Explaining a location of an incident in textual format typically requires prepositions to emphasize the proximity of relevant features. Additionally, global mapping systems do not convey the real naming of real-world features on a local level. This raises the importance of creating local gazetteers containing various names of each feature entry including buildings, landmarks, and road names. In addition, a place might contain smaller places within its boundaries. In the platial perspective, gazetteers and hierarchies of places can be compared to GIS databases and layers in the spatial approach, respectively. This general approach allows for the connection between human-centered place-based referencing, and metric georeferencing systems used in GIS and mapping. In this research, we are instantiating a reference library of geo-parsed footprints based on place names and prepositions in text-based crowdsourced data. A localized gazetteer of place names in George Mason University - main campus, Fairfax VA, USA was created as the functional center of the system. The geo-parsed footprints are bounded differently based on place name types and whether or they are preceded with a preposition. The prepositions are being classified in accordance to their relative distances. Currently there are more than ten footprint definitions based on the geo-parsing methodology. The library of the footprint definitions is expected to grow significantly and we hope to make it a reference for other scholars for further research improvements. The web/mobile platform system, built for this research, integrates the following open source technologies: MapBox, TURF.js, JQuery, and Bootstrap.

uk: вхід без авторизації

name: Generating Geospatial Footprints For Geoparsed Text From Crowdsourced Platial Data


uk: Комп'ютерні науки

description: Relational databases have been around for a long time and Spatial databases have exploited this feature for close to two decades. The recent past has seen the development of NoSQL on- relational databases, which are now being adopted for spatial object storage and handling too. And this is gaining ground in the context of increased shift towards GeoSpatial Web Services on both the Web and mobile platforms especially in the usercentric services, where there is a need to improve the query response time. While SQL databases face scalability and agility challenges and fail to take the advantage of the cheap memory and processing power available these days, NoSQL databases can handle the rise in the data storage and frequency at which it is accessed and processed which are essential features needed in geospatial scenarios, which do not deal with a fixed schema(geometry) and fixed data size.This paper attempts to evaluate the performance of an existing NoSQL database 'MongoDB' with its inbuilt spatial functions with that of an SQL database with spatial extension 'PostGIS' for two primitive spatial problems LineIntersection and Point Containment problem, across a range of datasets, with varying features counts. For LineIntersection function, the dataset consisted of two independent layers of horizontal lines and vertical lines with incremental lengths and their size varied from ten lines to ten thousand lines in each layer and another dataset with two layers, one of random lines of variable size and shape and another layer of a single line which is intersecting many lines of layer1. For Point Containment problem, the dataset consists of two layers, one of polygons in a space of different shape and size and another layer of random points in the space, some inside the polygons and some outside. All the data in the analysis was processed In memory and no secondary memory was used. Initial results suggest that MongoDB performs better by an average factor of 25x for Line Intersection Problem and 10x for Point Containment Problem which increases exponentially as the data size increases in both indexed and non indexed operations. Given these results NoSQL databases may be better suited for simultaneous multipleuser query systems including WebGIS and mobileGIS. Further studies are required to understand the full potential of NoSQL databases across various geometries and spatial query types.

uk: вхід без авторизації

name: Performance Analysis of MongoDB Vs. PostGIS/PostGreSQL Databases For Line Intersection and Point Containment Spatial Queries.


uk: Комп'ютерні науки

description: There is often a need for making a high-resolution or a complete bathymetric map based on sparse point measurements of water depth. The common practice of previous studies has been to calibrate a single global depth regression model for an entire image. The performance of conventional global models is limited when the bottom type and water quality vary spatially within the scene .For a more accurate and robust water-depth mapping , this study proposes a regression model for a geographical region or local area rather than using a global regression model. The global regression model and Geographical Weighted Regression (GWR) model are applied to Landsat 8 and RapidEye satellite images. The entire data analysis workflow was carried out using GRASS GIS Version 7.0.0. Comparison of results indicates that the GWR model improves the depth estimation significantly, irrespective of the spatial resolution of the data processed. GWR is also seen to be effective in addressing the problem introduced by heterogeneity of the bottom type and provide better bathymetric estimates in near coastal waters. The study was carried out at Pureto Rico, northeastern Caribbean sea. Two different satellite data were collected in order to test the algorithm with high and moderate resolution data. RapidEye data has 12-bit radiometric resolution and 5 meter spatial resolution. Even though Landsat 8 data also has 12-bit radiometric resolution, it provides 30 m spatial resolution. In order to calibrate and evaluate the estimated depth, high accuracy LiDAR depth data (4 m resolution) provided by NOAA is used. The study was demonstrating GWR model to estimate depth, evaluate and compare the results with a global conventional regression model. The comparative study between conventional global model and GWR model shows that GWR model significantly increases the accuracy of the depth estimates and addresses spatial heterogeneity issue of the bottom type and water quality. The GWR model provide better accuracy at both Landsat 8 (R-squared=0.96 and RMSE=1.37m) and RapidEye (R-squared=0.95 and RMSE=1.63m) than global model at Landsat 8 (R-squared=0.71 and RMSE=3.71m) and RapidEye (R-squared=0.71 and RMSE=4.04m).

uk: вхід без авторизації

name: Geographical Weighted Regression Model For Improved Near-shore Water Depth Estimation From Multispectral Imagery


uk: Комп'ютерні науки

description: Recent development of open source geospatial software offers new opportunities for the spatial analysis and urban modeling fields. The use of open source software enables analysts and modelers to build dedicated and advanced models through computer programing. However, many open source geospatial software usually provides building blocks for the static data management, analysis, and visualization. Hence, development of dynamic simulation model with open source geospatial software is not yet fully fledged. The goals of this study are twofold. Firstly, it aims to develop a dynamic urban growth simulation model by using and integrating heterogeneous open source software such as R and Processing. Secondly, by doing so, it aims to develop a new way to use binominal logistic regression analysis as a method for dynamic urban growth simulation. The research uses R and Processing to develop an urban growth simulation model. The former is a well-known open source statistical software, and the latter is an open source software for data visualisation. The integration of two open source software and the model development are carried out in Java programming environment. The reason of such integration is to build a dynamic urban growth simulation from a conventional binominal logistic regression analysis. Binominal logistic regression is well-known method to calculate a certain choice probability, and it has often been used to analyse the possibility of future urban development. However, the result from such logistic regression by nature is stochastic and static. To make it as a key method for urban growth simulation, what this research has done is the integration of following tasks: execution of logistic regression, extraction of coefficients from the result, calculation of development probability, allocation of new development, and visulaisation of such urban development. The model was applied to a case study area, Busan Metropolitan Area, Korea in order to examine its usability. It has produced statistically meaningful outcome, and the model shows a new way of developing dynamic urban simulation model. However, all data processing work is done with a separate work process, and not integrated with the model. It could be a future study.

uk: вхід без авторизації

name: The Integration of Heterogeneous Open Source Software to Develop a Dynamic Urban Growth Simulation Model


Dynamic Styling For Thematic Mapping

uk: Комп'ютерні науки

description: Current web standards have facilitated the online production and publication of thematic maps as a useful aid to interpretation of spatial data and decision making. Patterns within the raw data can be highlighted with careful styling choices, which can be defined for online maps using tools such as Styled Layer Descriptor (SLD) XML schema. Dynamic generation of maps and map styles extends their use beyond static publication and into exploration of data which may require multiple styles and visualisations for the same set of data. This paper explores the application of thematic styling options to online data, including mapping services such as Open Geospatial Consortium (OGC)-compliant Web Mapping and Web Feature Services. In order to be relevant for both user-specified and automated styling, a prototype online service was developed to explore the generation of styling schema when given data records plus the required output data type and styling parameters. Style choices were applied on-the-fly and to inform the styling characteristics of non-spatial visualisations. A stand-alone web service to produce styling definitions requires a mechanism, such as a RESTful interface, to specify its own capabilities, accept style parameters, and produce schema. The experiments in this paper are an investigation into the requirements and possibilities for such a system. Styles were applied using point and polygon feature data as well as spatially-contextual records (for example, data that includes postal codes or suburb names but no geographical feature definitions). Functionality was demonstrated by accessing it from an online geovisualisation and analysis system. This exploration was carried out as a proof of concept for generation of a map styling web service that could be used to implement automated or manual design choices.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Citizen science can be explained as the engagement by nonprofessional scientists in collecting data, analyzing data, developing technologies and the publication of these on a voluntary basis. In a majority of citizen science projects the data to be collected is geospatial and is being presented on maps. If the data is about environmental observations, this approach is often referred to as participatory sensing. A novel approach in this field is to equip citizens with DIY-environmental sensor stations and to establish citizen driven sensor networks. This approach leads to better data coverage but also contains motivational aspects, as citizens build up their own devices. Most existing DIY sensor stations are not fully open in terms of source code, data collection, hardware, educational documents or extensibility for other platforms. That's why they lack transparency for the user, e.g. for scientists, who are interested in the data or citizens who want to understand the algorithms. The SenseBox project started at the Institute for Geoinformatics, University of M?nster, and is an ongoing open citizen science project. Based on open hardware components (Arduino microcontrollers and compatible sensors) citizens build their own Internet of Things enabled sensor stations to collect environmental data (temperature, humidity, air pressure, loudness, VIS-light, UV-light). The data is being published as open data and visualized on a web based platform, the OpenSenseMap (OSeM). An educational edition of the SenseBox and didactical material are being introduced into high schools, where students learn to code, measure environmental phenomena and work scientifically. The whole source code is open source, instructions are being published as open educational resources (OER) and models for a 3D-printed waterproof case are available as open source as well. In a first project phase, around 50 SenseBox stations were deployed to citizens and schools in Germany. Some participants had problems in the building and registration process of the SenseBox, others disconnected their SenseBox after some time. In this paper we want to investigate, if usability problems were the cause of the low success rate and how the motivation of citizen scientist can be preserved to ensure long-term data collection. In a user study we plan to evaluate the workflow of (a) building up the SenseBox station, (b) register it on OSeM and (c) verify the communication. Therefore we invite non professionals to our institute for an observed usability study in a controlled environment. A number of ten attendees is sufficient to improve usability significantly. As a basis, the current state of our online tutorials, containing text documents with illustrations and examples, are provided to the participants. Sessions are video recorded, and participants are being interviewed afterwards. In a next step, the results are analyzed to enhance project documentation and hardware design to a more user friendly version. The enhanced construction kits are being rolled out and provided to a new group of citizen scientists. In a final step, a questionnaire is used as an evaluation for the user study and the motivation of the participants.

uk: вхід без авторизації

name: Usability Engineering For Successful Open Citizen Science


uk: Комп'ютерні науки

description: The Philippines' Department of Science and Technology in collaboration with Higher Education Institutions (HEIs), lead by the University of the Philippines, has embarked on a program for producing hazard maps on most major river systems in the Philippines. Realising the utility of LiDAR and its derived datasets, a concurrent program on resource assessment was also initiated. These endeavors aims to produce essential products such as DEMs, Orthophotos and LAS data that can be used for different purposes such as urban planning, resource planning, and other purposes these geospatial data might be able to provide. The result of both programs are large amounts of data that needs to be distributed and archived at a fast rate. As with other LiDAR operations handling large swaths of spatial data is not an option, hence data sets are organized in contiguous blocks, subdivided by files and grouped by river systems and local government units. Existing spatial content management systems and geoportal solutions were designed and have capabilities for handling rasters and vectors but not for point-cloud data distribution. This study discusses the development of a simple and straightforward system for storing and delivering LiDAR and LiDAR-derived data using Ceph as object storage system coupled with a spatial content management system derived from GeoNode. This approach hinges on our requirements of being scalable yet robust without much deviations from the current file system based storage structure. While most operations like data acquisition, preprocessing and quality checking are done centrally, the system aims to address our programs' needs for data exchange between spatially distributed to autonomous partner HEIs who perform data processing, and validation. The system also targets to semi-automate our data distribution process which caters to government institutions and the general public.

uk: вхід без авторизації

name: Development of Data Archiving and Distribution System For the Philippines' LiDAR Program Using Object Storage Systems


uk: Комп'ютерні науки

description: Urban areas are of increasing importance in most of the countries since they have been changing rapidly over time. Buildings are the main objects of these areas, and building boundaries are one of the key factors for urban mapping and city modelling. Accurate building extraction using lidar data has been a prevalent topic that many research efforts have been contributed to. However, the complexity of building shapes and irregularity of lidar point distribution make the task difficult to achieve. Although there are plenty of algorithms trying to solve the difficulties, it is not feasible for a single method to fit for all. Each can perform well under a certain situation and requirement only. In this paper, several building boundary extraction algorithms including an alpha-shape algorithm, a grid-based algorithm, and a concave hull algorithm are assessed. The strengths and limitations of each algorithm are identified and addressed. The point cloud used in this research is derived from the airborne lidar data acquired over the main campus of the University of New South Wales (UNSW) Australia in 2005. Typically, the boundary extraction algorithms are applied to the clusters of building points when lidar data is segmented and classified. Many approaches have been attempted to improve the extraction algorithms. The simplest way to extract a rough boundary is using the convex hull method which has been implemented by several researchers including Qihong et al. [1]. However, this algorithm only fits for buildings with regular convex shapes. In order to overcome the limitation of this method many researchers have modified and improved the algorithm and obtained more reliable boundaries [2, 3]. Another prevalent and recent method is using an alpha-shape algorithm based on two-dimensional Delaunay Triangulation [4, 5]. This method works for both concave and convex shapes, and even for some complicated shapes. Another approximation-based algorithm was introduced by Zhou and Neumann [6] using watertight grids. Although it is observed that aforementioned algorithms work well in different scenarios, a quantitative comparison analysis on each algorithm��s performance on an identical dataset is rarely reported. Aiming at evaluating and improving these algorithms, we implemented a mathematical framework to compare the algorithms in an object-by-object basis. This study compares the boundary points selected by different algorithms and the impact of the selection on the accuracy. In this paper, three algorithms for building boundary extraction are assessed in an object-by-object basis. The alpha-shape algorithm generates reliable boundaries for most of sample buildings, while the grid-based algorithm shows a little inconsistency in some cases. The concave hull algorithm performs moderately with a few limitations. The alpha-shape algorithm is suggested for general building boundary extraction for its consistency and reliability.

uk: вхід без авторизації

name: Object-Based Building Boundary Extraction From Lidar Data


uk: Комп'ютерні науки

description: Large-scale open-pit mines are critical infrastructure for acquiring natural resources. However, this type of mine can experience environmental and safety problems during operations and thus requires continuous monitoring. In this study, a web three-dimensional (3D)-based monitoring system is constructed using open-source geospatial information software and targeting the open-pit mine in Gangwon-do, Korea. The purpose is to develop a monitoring system of open-pit mines that enables any person to monitor the topographic and environmental changes caused by mine operations and to develop and restore the area��s ecology. Open-pit mines were classified into active or inactive mines, and monitoring items and methodologies were established for each type of mine. Cesium, which is a WebGL-based open-source platform, was chosen as it supports dynamic data visualization and hardware-accelerated graphics related to elapsed time, which is the essential factor in the monitoring. The open-pit mine monitoring system was developed based on the geospatial database, which contains information required for mine monitoring as time elapses, and by developing the open-source-based system software. The geospatial information database for monitoring consists of digital imagery and terrain data and includes vector data and the restoration plan. The basic geospatial information used in the monitoring includes high resolution orthophoto imagery (GSD 0.5 m or above) for all areas of the mines. This is acquired by periodically using an airborne laser scanning system and a LiDAR DEM (grid size 1 m �� 1 m). In addition, geospatial information data were acquired by using an UAV and terrestrial LiDAR for small-scale areas; these tools are frequently used for rapid and irregular data acquisition. The geospatial information acquired for the monitoring of the open-pit mines represents various spatial resolutions and different terrain data. The database was constructed by converging this geospatial information with the Cesium-based geospatial information open platform of the ESRI World Imagery map and with SDK World Terrain meshes. The problems that resulted from the process of fusing aerial imagery and terrain data were solved in the Cesium-based open source environment. The prototype menu for the monitoring system was designed according to the monitoring item, which was determined by the type of mine. The scene of the mine and changes in terrain were controlled and analyzed using the raster function of PostGIS according to the elapsed time. Using the GeoServer, the aerial imagery, terrain, and restoration information for each period were serviced using the web standard interface, and the monitoring system was completed by visualizing these elements in Cesium in 3D format according to the elapsed time. This study has established a monitoring methodology for open-pit mines according to the type of mine and proposes a method for upgrading the imagery and terrain data required for monitoring. The study also showed the possibility of developing a Web 3D-based open-pit mine monitoring system that is applicable to a wide range of mashup service developments. Acknowledgments This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIP) (NRF-2013R1A2A2A01068391).

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name: The Development of Web 3D-based Open-pit Mine Monitoring System


uk: Комп'ютерні науки

description: In the past few decades, many kinds of UAS for image acquisition has been developing. But only high-cost commercial software could be used to image aligning and correcting. This problem caused cost-problem of UAS and complicated for many users. Nowadays, variety of software, not only commercial but also open-source, provides powerful image processing tool. There are so many software to support this processing, but only three popular programs are used to make a comparative study. The goal of this study is to compare the ease of use, overall accuracy and processing time of each software based on chunk of images from UAS.

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name: A Comparison of Image Aligning and Correcting Software with an Unmanned Aerial System

name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: Addresses play a key role in facilitating service delivery, such as mail, electricity or waste removal, in both urban and rural areas. Today, preparation of digital geocoded address data in a geographic information system is a reasonably simple task. However, erecting and maintaining address signs in the physical world may take time due to lengthy procurement processes and vandalism or a disaster may cause signs to disappear. Displaying addresses in augmented reality could close the gap between digital address data and the physical world. In augmented reality, a live view of the real world is superimposed with computer-generated information, such as text or images. Augmented reality applications have received significant attention in tourism, gaming, education, planning and design. Points of interest are sometimes displayed, but addresses in augmented reality have not yet been explored. The goal of this article is to present the results of a two-step evaluation of augmented reality mobile development frameworks for address visualization. First, we evaluated eight frameworks. Based on the evaluation, we implemented an application in two of the frameworks. Three use cases informed the evaluation: 1) disaster management, e.g. address signs are destroyed by an earthquake; 2) household surveys, e.g. locating dwellings in informal settlements or rural areas where addresses are not assigned in any specific sequence and signs do not exist; and 3) address data quality management, e.g. validating digital address data against addresses displayed in the physical world. Evaluation criteria included developer environment; distribution options, location-based functionality, standards compliance, offline capabilities, integration with open source products, such as QuantumGIS and PostGIS, and visualization and interaction capabilities. Due to procurement challenges in the use cases, open source licensing and integration with open source products was a strong requirement. Results show that very few open source frameworks exist and those that do exist, seem to be dormant, i.e. the latest versions are not in sync with the latest mobile operating systems. The use cases require offline capabilities (e.g. due to internet downtime after a disaster or lack of connectivity in rural areas), but few frameworks provided such support. The recently published Open Geospatial Consortium (OGC) Augmented Reality Markup Language (ARML) was implemented in only three of the frameworks. The evaluation results can guide developers in choosing an open source framework best suitable for their specific needs and/or for integration with open source products. In future work, we plan to evaluate the impact of internet connectivity and limitations of sensors in mobile phones on the precision of address visualization in augmented reality in the three use cases.

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name: Results of an Evaluation of Augmented Reality Mobile Development Frameworks For Addresses in Augmented Reality


uk: Комп'ютерні науки

description: Landmarks are yet to be integrated with mainstream mobile phone based navigation aids. In geographical regions where land marks are commonly used by the community for navigation support, the lack of them in electronic navigation aids make them less useful for such communities. In this study a land marks based navigation model is derived considering the value of them for local community in Sri Lanka. The landmarks can be prominent or not, make sense only during certain time of the day or been important differently for people with different age groups. We assume that the attributes of landmarks can be used to give a strength value for them for navigation. In this study three parameters, the visibility of them at different time of the day, the horizontal spread of the landmark and the height of them are considered as attributes which gives strength to a landmark. First, to give more importance to landmarks, we have developed an algorithm where not only the distance of a route but the strength of landmarks is also considered when selecting the best route to navigate. The A* Algorithm is used as the base which output possible shortest paths considering only the distance. This algorithm was enhanced to output the optimum paths considering both the distance and the strength of landmarks along it. If the route is having more strength related to landmarks, it is prioritized. The route��s strength is defined based on number of landmarks visible along it and the strength of them. In order to calculate the number of landmarks along a route a landmark buffer is used. The day/night visibility and the height/spread are used to calculate the strength of the landmarks along the route. We have identified that after placing landmarks on a mobile screen which have limited size, the map become too congested and it becomes difficult to read the navigation path. This is more prominent when the path is having many turns. Therefore, secondly, to utilize the limited mobile screen in more effective manner, we reduce the selected path to a linear map which shows the path reducing curves but emphasising the turns by markers. The linear map shows landmarks around significant turns and provides guidance based on landmarks. The turn confirmations are calculated based on landmarks. Douglas-Peucker algorithm is used to derive the linear path and is enhanced to identify turns and show the landmarks around those turns. A prototype implementation is done using mobile web approach to reduce the platform dependency. In the simple mobile web application developed, jQuery mobile, and php are used for the user interface development and server side implementations respectively. PostgreSQL with postGIS capabilities and pgRouting is used as a spatial database. Web services and smart queries are used to implement the basic functionality communicating with the spatial database and the front end. The application is still being implemented and tested in Sri Lanka at the moment and the outcome would be reported in due course.

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name: Landmark Based Path Planning with a Linear Map Display For Mobile Map Applications


uk: Комп'ютерні науки

description: Records of environmental samples, such as minerals, soil, rocks, water, air and plants, are distributed across legacy databases, spreadsheets or other proprietary data systems. Sharing and integration of the sample records across the Web requires globally unique identifiers. These identifiers are essential in order to locate samples unambiguously and to manage their associated metadata and data systematically. The International Geo Sample Number (IGSN) is a persistent, globally unique label for identifying environmental samples. IGSN can be resolved to a digital representation of the sample trough the Handle system. IGSN names are registered by end-users through allocating agents, which are the institutions acting on behalf of the IGSN registration agency. As an IGSN allocating agent, we have implemented a web service based on existing open source tools to streamline the processes of registering IGSNs and for managing and disseminating sample metadata. In this paper we present the design and development of the web service and its database model for capturing various aspects of environmental samples. Previous work by the System for Earth Sample Registration (SESAR) was aimed primarily at individual investigators, whereas our work focuses on curating sample descriptions from larger collaborative projects. The paper describes the linkage between the IGSN metadata elements and the sampling concepts specified in existing common data standards, e.g., the Open Geospatial Consortium (OGC) Observations and Measurements standard. This mapping allows the application of the IGSN model across different science domains. In addition, we show how existing controlled vocabularies are incorporated into the service development to support the metadata registration of different types of samples. The proposed sample registration and curating approach has been trialled in the context of the Capricorn Distal Footprints project on a range of different sample types, varying from water to hard rock samples. The observed results demonstrate the effectiveness of the service while maintaining the flexibility to adapt to various media types, which is critical in the context of a multi-disciplinary project.

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name: An Open Source Web Service For Registering and Managing Environmental Samples


uk: Комп'ютерні науки

description: Historical land use records are valuable information for biodiversity protection, disaster management, rural area planning and many other uses. The Rapid Survey Maps (RSM) that were surveyed in the 1880's (early Meiji Era), are the first modern cartographical map series of Japan and important sources of information on traditional land use in early modern Japan. We had been analyzing these maps based on polygon data and raster based Web-GIS System to disseminate the Rapid Survey Maps using FOSS4G, but, these are difficult to apply for quantitative analyses of land use change. Thus, we developed a grid based land use database using QGIS and PostGIS, and published the database using GitHub. First, we developed a land use data input system consisting of a client and server. The client was developed using QGIS API and the server was a PostGIS database. Point data as a 100 m grid was stored in the PostGIS server and land use category underneath each point was input using the QGIS application. About 1,400 thousand records (70%) have already been inputted. Error of grid based land use data is less than 1% compared with vector based land use data. We analyzed land use change from the 1880's to 1975's. The most significant difference between the 1880's and 1970's is the area of urban land use and rough land such as grassland and bush. Urban area increased remarkably and grassland area almost disappeared. That does not mean grassland changed to urban area. Most grassland changed to agricultural land uses and forest, and urban area was formerly mainly agricultural land use and forest. Some inputted data have been copied to GeoJSON and uploaded to GitHub (https://github.com/wata909/habs_test/) as open data (Creative Commons BY 2.1 Japan). A tentative data browsing site was constructed with Leaflet (for example, http://wata909.github.io/habs_test/rapid544000.html). In this site, it is possible to compare point type land use data in the 1880's and present topographic map/RSM raster data. We hope that this database contributes to not only academic research, but also business, government, and public interest.

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name: Developing a Land Use Database of the Kanto Region, Japan in the 1880's


uk: Комп'ютерні науки

description: The Department of Geography at Salisbury University has a long tradition of teaching geographic information science. Until recently, most of the courses and research activities have focused on commercial software offerings. However, the Department has recently integrated Free and Open Source Software for GIS (FOSSG) into it's curriculum, research, and outreach. Curriculum changes included introducing students to FOSSG in traditional GIS courses using QGIS, and allowed the creation of two entirely new courses in Enterprise GIS and GIS Programming using PostGIS, GDAL, and SpatialLite. Through a competitive National Science Foundation (NSF) Research Experience for Undergraduates grant (REU), students participated in cutting edge research projects in parallel processing with Hadoop and spatialHadoop for cluster computer, and CUDA for GPGPU calculation on embarrassingly parallel processes for raster data. Finally, undergraduate interns working in the Department's Eastern Shore Regional GIS Cooperative (ESRGC) developed geodashboards using node.js, PostGIS, and Leaflet, while a special topics course developed a GIS based iphone and Android application used by 4,000 participants in the annual Sea Gull Century bike ride using GeoJSON, Leaflet, and javascript. In addition to highlighting the successes of these activities, this paper will discuss the process we used to make the necessary changes in our curriculum, secure the necessary funding for external projects, and the training approach we used to get our computer science students proficient in programming with FOSSG tools.

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name: Integrating Open Source GIS Software in Undergraduate Curriculum, Research, and Outreach - Recent Experiences at Salisbury University


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description: The use of mobile devices for identifying risk and coordinating disaster response is well accepted and has been proven as a critical element in disaster risk management [1,2]. As new tools, applications, and software are adopted by municipal governments and NGOs for the identification and management of urban risk, the need for greater integration of the various data they aid in collecting becomes acute. While the challenge of integrated data management is substantial, it is aided by the fact that many new tools have been developed to include an Application Programming Interface (API), which allows the machine-to-machine (i.e. automated) sharing of open data [3]. While some proprietary platforms for the management of urban data are currently available, they are extremely costly and very limited in terms of data inputs; to date there are no open source geospatial software tools for the integrated management of various API sources. A key to improving disaster risk management as an element of risk identification is the development of an integrated open source Decision-Support Risk Matrix that enables: 1) automated integration of multiple geospatial and non-geosapatial API sources into a low cost, user-oriented dashboard; 2) backend database and software design for the Risk Matrix that enables data sources to be parameterized and interrogated; 3) the development of an output API stream that allows additional secondary applications to optimize their evaluations and analyses through open access to critical risk information. Jakarta and its surrounding conurbation (Jabodatabek) has the highest rate of urbanization in the world and comprises the second-largest contiguous settlement on earth. With a greater metropolitan area hosting 13 rivers, 1100 kilometers of canals, and over 28 million residents, Jakarta is a key case study for the development of improved risk management through new tools and open software [4]. Risk information and coordination through open data protocols is critical to support decision-making about disaster response, emergency planning, and community resilience. Furthermore, rich suites of open and accessible geospatial risk data generate activity in NGOs and the private sector, especially for longer term planning tools and economic calculators. The development of application-driven data collection via mobile devices allows for unprecedented data collection capacities, but to be effective, these technologies require coordination through open source software. CogniCity is a GeoSocial Intelligence Framework developed by the SMART Infrastructure Facility, University of Wollongong and the emergency management agency of Jakarta (BPBD DKI). CogniCity is a geographical information system that allows collection and visualization of geospatial data on flood alerts (via Twitter) and the use of spatio-topological network models of hydraulic networks. Through its implementation PetaJakarta.org (Map Jakarta), CogniCity has been proven in an operational manner to improve government response to flooding in Jakarta [4]. This paper presents the next version of CogniCity to support an Application Programming Interface (API)-enabled Decision-Support Matrix. The result is an open source platform capable of transforming real-time data about flooding in the city of Jakarta into open, accessible and actionable information by government agencies, NGOs and the public.

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name: Advances in Civic Co-management Within the Geospatial Ecosystem Applied to Disaster Risk Management


uk: Комп'ютерні науки

description: Over the last decades, advancements in web services and web-based geospatial technologies have led to increasing delivery, access and analysis of rich spatial information over the web. With the use of open access data and open-source technology, it has become possible to make better, transparent and informed decisions for policy and decision makers. Under the framework of the European FP7 Marie Curie ITN CHANGES project, a prototype web-based collaborative decision support platform was developed for the evaluation and selection of risk management strategies, mainly targeting to flood and landslide hazards. The conceptual framework was designed based on the initial feedback and observations obtained from field visits and stakeholder meetings of the case study areas of the project. A three-tier client-server architecture backed up by Boundless (OpenGeo) was applied with its client side development environment for rapid prototyping. The developed prototype was tested with university students to obtain feedback on the conceptual and technical aspects of the platform as well as to analyze how the application of interactive tools in the exercise could assist students in their learning and understanding of risk management. During the exercise, different roles (authorities, technicians, community) were assigned to each group of students for proposition and selection of risk mitigation measures in a study area, Cucco village located in Malborghetto Valbruna commune of North-Eastern Italy. Data were collected by means of written feedback forms on specific aspects of the platform and exercise. A subsequent preliminary analysis of the feedback reveals that students with previous experiences in GIS (Geographical Information Systems) responded positively and showed their interests in performing exercises with this type of interactive tools compared to the ones with fewer or no GIS experience. These preliminary results also show that the prototype is useful and supportive as a decision support tool in risk management while user-friendliness and practical aspects of the platform could be better improved.

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name: Evaluation of an Open-source Collaborative WebGIS Prototype in Risk Management with Students


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description: Natural disaster impacts have increased worldwide in the last decades. Earthquakes are one of the disasters that have been studied for real-time analysis and crisis management. Disaster- related losses have been examined by damage extent of the houses, infrastructures, fatalities and injuries converted to financial losses. WebGIS technologies provide a wide range of solutions to map those damages, analyse data and publish the results. Open-Source tools and data have been widely used today because they stay free and facilitate access to data especially significant in developing countries. This research presents a WebGIS prototype using Open-Source Geo-Spatial technologies such as PostGIS, Geoserver, Geoexplorer and OpenStreetMap (OSM) to evaluate the rapid impact of naturally produced disasters for total damages. For this purpose, expert knowledge such as earthquake intensities and vulnerability inputs are imported into the system and the loss of the damage is rapidly estimated. This work is part of a project for catastrophe modeling based on Open-Source data and software. We hope that involving Open-Source knowledge into our application will decrease the time and efforts needed for rapid disaster and catastrophe management.

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name: An Open-Source WebGIS Platform For Rapid Disaster Impact Assessment


uk: Комп'ютерні науки

description: This study aims to build flood hazard map for a lowland area in Danang city, Vietnam based on topographical data, land-cover and flood inundation map. ALOS PALSAR imageries with respect to the time before and during flood event in 2007 were used to characterize flood inundation. In addition, topographical data was developed via 5m resolution DEM generated by a bi-cubic spline algorithm that implemented in BS-Horizon program (Nonogaki et al., 2012). This high resolution DEM was used to enhance the accuracy of flood map as well as determine the geomorphological features of the study area and the relations on flood hazards. Land-cover map in 2007 extracted from Landsat TM data was also applied for the landform classification process. The flood hazard map was generated based on the probability of submergence of each landform unit. The changes in land-cover as well as topography have significant effect on flood hazard. In this study, optical Rapid Eye remote sensed data in 2014 was used to extract land-cover by the time and the land-cover change from 2007 to 2014. The estimated landform and potential flood hazard map in 2014 was built based on the updated land-cover. The result was compared with field survey flood pillar data, flood map in the past, land-cover change and flood scenario given by Danang City government to assess the accuracy. This research has also proposed some flood prevention plans for this alluvial lowland area. Landforms units derived rule-based classification of land cover map, 5m resolution DEM data and flood inundation map not only facilitates the understanding of the nature of flood but also in flood risk zoning. The methodology developed in this study would be useful in low relief areas in Vietnam and other parts of the world.

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name: Evaluating Flood Hazard Potential in Danang City, Vietnam Using FOSS4G


uk: Комп'ютерні науки

description: This article aims at dealing with the inconveniences—associated with places—the foreign tourists are experiencing by utilizing the big data technology. It analyzes the spatial density of floating population of foreign tourists and suggests a variety of applications based on the results. This thesis associates the roaming big data of foreign tourists with Geographic Information System(GIS) to analyze the floating population density by location, time, and country. It uses R-Studio, a statistical computing software, and QGIS, an open source GIS software to visualize the data on a map. The first step to conduct the research is to open CSV format data and set variables for analysis. Then it analyzes the spatial density of floating population of foreign tourists sorted by time, location, and country, and the number of visitors is ranked for each location. Based on the analysis results, the data are visualized on a map through QGIS. Lastly, several adjacent target points—base stations—for certain locations are matched, and the necessary data are sampled out of them. This paper selects fourteen locations whose floating population of foreign tourists is dense: Gyeongbok Palace, Namsan Hanok Village, Deoksu Palace, Insadong, Myeongdong, Namdaemun Market, Dongdaemun Market, Garosu-gil, Apgujeongdong, Itaewon, Hongik University Entrance, Gangnam Station, COEX, and Lotte World. Moreover, it categorizes fourteen places into historical, shopping, and complex attraction and delves into the pattern or characteristics of floating population according to the categories; the categorized results directly show the distinct preferences for places and visiting time period. (Although the names of the countries the tourists are from are not provided in the roaming data of foreign tourists, they could be readily inferred from the comparison of the analysis results to the survey conducted by Korea Chamber of Commerce and Industry.) This research paper makes four pragmatic proposals in order to alleviate the inconveniences regarding the signposts, bus route, and insufficient tourist information centers; it suggests to add languages in the signposts for certain locations, modify the current route of the city tour bus, and build additional tourist information centers in several sites where floating population of foreign tourists turns out to be dense. The degree of correspondence between the analysis results and reality is examined via field inspection. Recently, tremendous amount of data is produced and open to public, which leads to the enhancement of transparency. This article, which connects the big data to GIS technology, would be one of the significant cases of effectual spatial decision.

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name: Analysis of Spatial Density Utilizing the Big Data of Floating Population of Seoul City


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description: Nowadays, there are many researches on the analysis of Geosocial big data, such as geotweeet and as foursquare venues and OSS(Open Source Software) has an important role on this. In the analyzing geosocial big data, there are several different steps such as data collection, data parsing, data conversion, statistical analysis, visualizing and database management. So, the integrated system architecture and the compatible analysis environment has a key role to acquire the relevant analysis results. The Python programming support the interoperable analysis environment for the various and different software functions and enable to process for geosocial big data in the integrated platforms. FOSS4G support software environment for geovisualization and data management for the collected data. In this study, the way and process of geosocial big data analysis is introduced with case study of geotweet and foursquare venues and the analysis results are presented with the case study of Korean data. For this study, Python API libraries for tweeter(tweepy) and foursquare(pyforsquare) used to collect the geosocial data, and Pandas and Simplejson are used to parse and extract the valid data, and GDAL and PySAL are used to convert and analyze for GIS data. PyTagCloud and WordCloud are used to visualize the qualitative text. MongoDB is used to store the collected dataset and QGIS are applied for the geovisualization.

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name: Geosocial Big Data Analysis Using Python and FOSS4G with the Case Study of Korean Data


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description: A visual-based attitude estimation system aims to utilize an on-board camera to estimate the pose of the platform by using salient image features rather than additional hardware such as gyroscope. One of the notable achievements in this approach is on-camera self-calibration [1-4] which has been widely used in the modern digital cameras. Attitude/pose information is one of the crucial requirements for the transformation of 2-dimensional (2D) image coordinates to 3-dimensional (3D) real-world coordinates [3]. In photogrammetry and machine vision, the use of camera’s pose is essential for modeling tasks such as photo modeling [5-8] and 3D mapping [9]. Commercial software packages are now available for such tasks, however, they are only good for off-board image processing which does not have any computing or processing constraints. Unmanned Aerial Vehicles (UAVs) and any other airborne platforms impose several constraints to attitude estimation. Currently, Inertial Measurement Units (IMUs) are widely used in unmanned aircrafts. Although IMUs are very effective, this conventional attitude estimation approach adds up the aircraft’s payload significantly [10]. Hence, a visual-based attitude estimation system is more appropriate for UAV mapping. Different types of approaches to visual-based attitude estimation have been proposed in [10-14]. This study aims to integrate optical flow and a keypoints detector of overlapped images for on-board attitude estimation and camera-self calibration. This is to minimize the computation burden that can be caused by the optical flow, and to fit in on-board visual-based attitude estimation and camera calibration. A series of performance tests have been conducted on selected keypoints detectors, and the results are evaluated to identify the best detector for the proposed visual-based attitude estimation system. The proposed on-board visual-based attitude estimation system is designed to use visual information from overlapped images to measure the platform’s egomotion, and estimate the attitude from the visual motion. Optical flow computation could be expensive depending on the approach [15]. Our goal is to reduce the computation burden at the start of the processing by minimizing the aerial images to the regions of upmost important. This requires an integration of optical flow with salient feature detection and matching. Our proposed system strictly follows the UAV’s on-board processing requirements [16]. Thus, the suitability of salient feature detectors for the system needs to be investigated. Performances of various keypoints detectors have been evaluated in terms of detection, time to complete and matching capabilities. A set of 249 aerial images acquired from a fixed wing UAV have been tested. The test results show that the best keypoints detector to be integrated in our proposed system is the Speeded Up Robust Feature (SURF) detector, given that Sum of Absolute Differences (SAD) matching metric is used to identify the matching points. It was found that the time taken for SURF to complete the detection and matching process is, although not the fastest, relatively small. SURF is also able to provide sufficient numbers of salient feature points in each detection without sacrificing the computation time.

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name: An On-board Visual-based Attitude Estimation System For Unmanned Aerial Vehicle Mapping


uk: Комп'ютерні науки

description: Nowadays we see the rapid growth of solutions number for spatial data processing in the Web (i.e. geoprocessing). One of the main trends of Web geotechnologies evolution is the transition from Web map applications to the Web GIS applications, which are supplement the maps delivery with the analytic tools providing to the end user through Web interface. The only general open standard describes implementation rules for Web geoprocessing services. This is the Open Geospatial Consortium Web Processing Service standard (OGC WPS), which is server-oriented standard [Schut at al., 2007]. Moreover, the vast majority of currently used solutions (both open source and proprietary) are server-oriented, i.e. assume the using for computations the server resources only. However, some researchers underline that it is possible way to transmit the executable code to the client for client-side computations and geoprocessing [Keens at al., 2007]. Also, some general Web architecture concepts assumes the effectiveness of client-side computations, e.g. Fog Computing concept [Hong at al., 2013]. Our practical experience also shows that in some cases it is useful to have ability of client-side geoprocessing, which is not opposite but complement technology to the server-side processing technologies. In addition, we believe that it is more useful to have the ability to run the same processing tool by choice on server or client side. We name such double-sided services as Hybrid Geoprocessing Web Services (HGWS) [Panidi, 2014]. We study and discuss the approaches to fill the gap of client-side geoprocessing general schema. For this purpose, we implemented previously the getProcess request as addition to the WPS protocol [Panidi, 2014]. Additionally at the previous steps of our study, we proposed a possible structure of getProcess request and draft XML schema for its response, which describes the list of executable resources and their dependencies [Kazakov at al., 2015]. Currently we working on detailed methodology of processing tools implementation, and prototypes testing in use cases of geospatial data processing for small-scale research projects. We use the Python programming language as primary development tool, because of its applicability to build both server- and client-side processing tools using single core program code. We use Python also for implementation of needed infrastructure components, such as HGWS server that supports the getProcess request/response performing, and client-side runtime environment that provides executable code orchestration on the client. Achieved results need to be discussed widely and carefully. However, main conclusion of our current work is that client-side geoprocessing schema in general could be relatively simple and compatible backward with current standards. The HGWS concept is applicable when implementing client-side geoprocessing Web services in small-scale projects and could be the entering point for study of distributed geoprocessing systems implementation.

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name: Modifications to Web Processing Service Standard For Client-Side Geoprocessing


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name: Keynote Lecture 5: Where do we go from here? The next 10 years of open source geospatial


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name: Keynote Lecture 6: Citizen Science, VGI, Geo- CrowdSourcing, Big Geo Data: how they matter to the FOSS4G Community


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name: Keynote Lecture 7: QGIS - from a geodata viewer to a GIS platform


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name: Keynote Lecture 8: Global Vision: The Open Source Geospatial Foundation

name: Open Source Geospatial Foundation (OSGeo)


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name: Lightning Talk 2 Point cloud: The Musical


Opening & Logistics Info

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FOSS4G Seoul 2015 - panel discussion

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Closing Ceremony & Awards

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Keynote Lecture 2: FOSS4G FOR THE 5PS

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name: Keynote Lecture 3: Open Data, Open Standards, and Open/Proprietary Technologies


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name: Keynote Lecture 4: Building What Lasts: The Sustainability of Open Source for Tomorrow


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description: Recently in Mongolia, many techniques and methods are being applied to the surveying and mapping fields along with the development and innovation of geodetic surveying technology, more new terminology are being used in those area. Despite of the origin of the terminology that came from or which language it��s being translated, those new words need to be interpreted by concerning the exact meaning of the word and what this word is actually referring to. However, in Mongolia, there��s no legal framework including regulation and standards of terminology and professional word translation. Consequently, a single term is being used with various meanings in many organizations, companies and so on. And also an ambiguous meaning of the term has been aroused and leads to wrong definition and idea. Due to this, lack of use of the terminology influences negatively on not only surveying and mapping field, but social areas as well. In order to solve this issue, study aims to create glossary database based on development of the terminology dictionary of geodesy and geographic information system through dynamic web design. In this study, many research methods have been carried out including, literature review based on the Dr. Damdinsuren (2013)��s ��Glossary for Geodetic Terms��, textbooks and other materials of surveying and geospatial in English, Mongolian and Russian, as well as in print and online dictionaries, surveying questionnaire on usability and quality of professional terminology and dictionary and their applications within academia, professors, students, civil servants and private companies�� engineers, and SWOT analysis on printed and online dictionaries. Surveying questionnaire resulted that 20 per cent of 150 questionnaire use professional textbooks, which are printed in the Mongolian language, 45 per cent use Russian and 35 per cent use English sources. Glossary database on geodesy and geographic information system is established in three languages (Mongolian-English-Russian) using MySQL and PHP programming language. The users from geo-information industry will be able to develop and update the database based on the free and open source platform, particularly, online. This glossary database contains around 500 terminology including over 200 graphic illustrations. Frequent access of the terminology can be counted and web page includes links of relevant public organizations�� and universities�� web pages. So, the study results that this glossary database on geodesy and geographic information system could provide specific meaning of the term and how this term can be used depending on the specific field via dynamic web-page. And it allows and facilitates accessibility of database anywhere and anytime free of charge meaning that removes ambiguity and saves users' precious time and money.

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name: Modeling of terminology database in field of Geodesy and Geographic information system


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description: The ability to define the styling of geospatial data is vital to make it the most informative and suitable for different needs. SLD Editor is a Node.js based web application for editing SLD-files easily and visually. The user can import SLD files, style the different elements visually, save different versions of original SLD files and load the new SLD files to be used further. SLD Editor enables also watching the style against the corresponding WMS. All the code is Open Source and available on GitHub! SLD Editor is a web application independent from other applications and developed in National Land Survey of Finland. First version was released in last February and has already raised a lot of interest among European organizations utilizing spatial data. Possibilities of utilizing SLD Editor are wide: use as it is, integrate into your application, develop further to make your own catch-all SLD editor Get to know the SLD Editor now and find your way to make use of it!

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name: Visualizing geographical data made extremely easy by SLD Editor!


Mapping the world beyond 3857

uk: Комп'ютерні науки

description: Most popular mapping presentations today, ranging from clients to servers, show and discuss only maps in EPSG:3857, the popular Mercator derived projection used by OSM as well as most commercial tiles providers. There is however an interesting, exciting world of map projections out there, that are still being used in a variety of context. This presentation will introduce the advancement made in GeoTools and GeoServer to handle those use cases, where users have a worldwide data set, and need to view all or part of it in multiple projections, some of which valid in a limited area, and requiring the software to perform a proper display of it on the fly, without any preparation. We'll discuss GeoTools/GeoServer advanced projection handling manages to deal with these cases, wrapping data, dealing with the poles and the dateline, cutting on the fly excess data, densifying on the fly long lines as needed to ensure a smooth reprojection, for a variety of cases, ranging from seemingly innocuous datum shifts, maps having the prime meridian over the pacific, and the various tricks to properly handle stereographic, transverse mercator, Lambert conic and other limited area projections against world wide source data sets.

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Live monitoring of ski tracks in Norway

uk: Комп'ютерні науки

description: This presentation is a complete walk-through of a system for live monitoring of ski tracks, built with open-source components. If ski track monitoring sounds odd to you, it is in principle the same as live monitoring a sweeping truck, snow-plough or any other road maintenance vehicle. The background for the system��s existence is a small, Norwegian town��s obsession with finding out where and when ski tracks were last prepared for them. A few man-hours, combined with the power of open source, has made it possible to create an affordable and efficient live tracking system. In this presentation, every aspect of the solution will be explained in full detail: The GPS tracking unit, the server and database components, and finally the web application that visualizes the data. Despite not being a revolutionary system, the concepts and experience drawn from this project can be useful to other developers who are starting off with open-source and geomatics. However, it may also be interesting to more weathered developers who would like to see a different approach to the problem of spatiotemporal data modelling with PostGIS. The open-source components that the presentation will touch on are the following: - Traccar - GPS trakcing server - PostgreSQL + PostGIS - Arduino - Apache2 + PHP + libpq

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Catalog on the fly satellite images

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description: The monitoring of tropical forests requires large amount of satellite images, some being free, as the case of Landsat and CBERS series, and other, better spatial resolution, these being paid. We currently have in IBAMA, approximately 49,000 scenes of RapidEye, corresponding to three annual coverages of the entire territory of Brazil, and added to growing acquisition of Landsat 8 images, provides the environmental analyst a condition never taken previously to monitor Brazil's natural resources. On the one hand we have a large number of images to improve the quality of analysis, on the other hand, the use of all images of a given location becomes impossible to add each image manually in desktop GIS. This paper will show the methodology and the implementation of the catalog on the fly, allowing the environmental analyst, have automatically, all cataloged satellite images of a particular area. The work consists of: 1) provide the minimalistic form of satellite images, ie, with minimal computational resources, mainly the demands of settings on the server, and 2) get in the QGIS automatically images of areas interest. Scripts were made in Python and Shell / Linux to generate the satellite images in the format TMS (Tile Map Server) and the definition files to GDAL_WMS (GDAL Web Map Services). The scripts were made using libraries and GDAL programs, and are available on Github (https://github.com/lmotta/scripts-for-gis). For each satellite scene, we have the structure of TMS format directories and files and corresponding XML file with the definition of GDAL_WMS driver. The scenes are processed in parallel through the parallel utility (http://www.gnu.org/software/parallel/), so the processing time, the server is limited processing capability. The entire set of scripts and tools, makes the process minimalistic therefore have the responsability for each division step, not a burden to maintenance, compared to the development of a processing framework. The scenes were cataloged in a vector layer allowing the consultation of these, and for each type of image (Landsat, CBERS, ...) has its cover layer. Plugin Catalog On the Fly was developed for QGIS, allowing access autamoticamente images using as search index the vector layer coverage. The plugin makes the intersection between the extension of the map view (mapcanvas) with the cover layer, and thus the identification of scenes that are in the area of interest. The cover layer has to have two field, a field with image data and the other with the image address, and may be, the URL of the TMS or a local image. The plugin is the official repository of QGIS as experimental (http://plugins.qgis.org/plugins/catalogotf_plugin/) and also on Github (https://github.com/lmotta/catalog-on-the-fly). The Catalog on the Fly can be seen on Youtube (https://www.youtube.com/watch?v=2S3RlWr0uQg). The work is in progress, where the IBAMA satellite images are being processed, and environmental analysts are testing the plugin.

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An image browser for the Planet

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description: Scenes Explorer is one of Planet Labs' end-user web applications, which allows clients to select imagery of interest from our vast and ever-growing satellite image library. Each one of Planet's images, referred to as a "scene", is searchable and downloadable in different product formats using Scenes Explorer. It was developed using Planet's public APIs, OpenLayers 3, and the React framework. We have leveraged these technologies to create an application that allows users to browse Planet's huge data library and identify imagery of interest, all while maintaining the quasi-native level performance that is expected of modern web applications. To achieve this we had to devise strategies that allow us to present, but more importantly multi-dimensionally filter large amounts of geographic data in real-time. The presentation will start by describing Planet's public APIs and how they can be integrated into a web-based mapping application. This will be followed by a deeper dive into the challenges of representing and dynamically filtering millions of image footprints in the browser and the tools, strategies, and UX we have developed to overcome them.

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description: Tile Reduce is a new open source map reduce frame work for analyzing massive geo data. Tile reduce is a tile analysis framework built on the javascript GIS library Turf.js. It runs on your local computer or in the AWS cloud and scales to run thousands of processors in parallel. At Mapbox we use Tile Reduce to detect issues in global street vector data like OpenStreetMap, data comparison and data conflation. This talk will walk through the architecture of Tile Reduce, highlight advantages, limitations and future developments.

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name: Big data analysis with Tile Reduce and Turf.js


uk: Комп'ютерні науки

description: Apache Tajo is a robust big data relational and distributed data warehouse system for Apache Hadoop. Tajo is top level project in Apache Software Foundation, it will be next generated data warehouse system. Tajo supports SQL standard queries, it can't perform queries about spatial objects unfortunately. So I will announce production experience Spatial Tajo extended plug-in for Tajo. The plan of Spatial Tajo is spatial plug-in supporting basic spatial queries, spatial join and spatial indexes, but current progress of this can still perform simple spatial relational functions and a few spatial joins. Spatial indexes will realize.

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name: Spatial Tajo : Supporting Spatial Queries on Apache Tajo


uk: Комп'ютерні науки

description: Create a infographic maps and can be shared on the web, we will introduce the Pinogio. Just a few clicks complex analysis function through Pinogio, it is possible to make a web map of high quality. Pinogio consists of a Geotools, GeoServer, OL3, including open source-based architecture. Do not store anymore geospatial data in local storage, create a beautiful maps from public cloud environment.

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name: A simple way to create a web infographic map: For public data and private data


uk: Комп'ютерні науки

description: As a typical big data application, geospatial analysis nowadays has been receiving extensive attention from both academic and industrial domains. Along collecting massive geospatial data, more and more manufacturers as well as research institutions find that the analysis over geospatial data in existing legacy architecture cannot be scalable. The reason is typical two-fold. On one hand, extending traditional databases to support modern complex geospatial data analytics is rather challenging. On the other hand, integrating the emerging techniques in other big data applications to traditional databases may suffer from compatibility issue, resulting in the poor performance or even painful debugging tasks. Specifically, most of today��s general-purpose relational databases (e.g., Oracle, Microsoft SQL Server, together with their geospatial components) are particularly designed as OLTP systems. Their shared-disk or shared-everything architectures are especially optimized for high-throughput transaction execution while sacrificing analytical query performance. In contrast to the exiting relational database systems, Pivotal offers the Greenplum Database (GPDB), which is an extensible relational database platform that uses a shared-nothing, massive parallel processing (MPP) based architecture to vastly accelerate the online analytical processing (OLAP) over geospatial big data. Even better, GPDB can seamlessly integrate in-database analytical processing with our extended analytics stacks, such as heterogeneous Hadoop environments and in-memory data grid. Recent reports from Gartner highly scored Pivotal GPDB on data warehousing and analytics. We design and develop geospatial analytics toolkits on GPDB in terms of three aspects. First, we migrate the latest PostGIS project into GPDB so that GPDB is able to run as a spatial database system for regular GIS users. Second, we extend the spatial component with various types of advanced geospatial functions, such as geospatial group-by, similarity search and network-constrained scenarios. Third, we are making effort to support associable retrievals of data across geospatial and other data domains, i.e, queries involving in both geospatial information as well as other non-spatial information, like RDF (which is known as GeoSPARQL queries), Text (which is known as spatial keyword search), time (which is known as trajectory search) etc. Above all we aim to integrate full breath of big data developers on geospatial analytics. This talk will briefly introduce (1) the architecture of Pivotal GPDB that provides automatic high-performance parallelization of geospatial data loading and data processing, (2) GPDB��s extensive and growing library of in-database geospatial analytic functions, and (3) the capability to build up a comprehensive geospatial data analytics platform around Pivotal GPDB. I will provide examples of how data science teams may transform billions of geo-tagged customer records to tackle the real-world problem of identity resolution in one minute. I will also discuss our plan of making Pivotal Greenplum Database open-source in the coming quarters.

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name: Accelerating GeoSpatial Data Analytics With Pivotal Greenplum Database


uk: Комп'ютерні науки

description: Mobmap is a visualization platform for spatio-temporal data easily and simply. This next generation GIS tools is released as a Google Chrome application for anyone. Recently, location data tend to be available to the public. This origin starts with the spread of iot devices including smartphone and open data such as aerial photos or satellite imageries. However, time series data analysis and visualisation on map tend to be unsupported by general gis software and libraries. Mobmap enables users to deal with time series location data. This presentation shows the summary and demos of Mobmap using several data examples such as simulated people flow data from geo tagged tweets and estimated building age transition data from multi temporal aerial photos, estimated future population.

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name: Mobmap as a visualization platform for spatio-temporal data


uk: Комп'ютерні науки

description: geOrchestra is a free, modular and secure Spatial Data Infrastructure software born in 2009 to meet the requirements of the INSPIRE directive in Europe. Initially covering Brittany, then France, geOrchestra now spreads worldwide with SDIs in Bolivia, Nicaragua, Switzerland and India. The presentation will go through the following subjects: * quick and precise description of the key features * where we come from and where we are going to * technical description of the software architecture (including SSO and security proxy) * from an infrastructure point of view, how we scale to handle the load (using Puppet and OpenStack) This talk is for anyone with an interest in SDIs, and "real world" SDI deployments.

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name: geOrchestra, a free, modular and secure SDI


uk: Комп'ютерні науки

description: This presentation will focus on creating geospatial metadata for spatial data infrastructures. The growing emphasis on data management practices in recent years has underscored the need for well-structured metadata to support the preservation and reuse of digital geographic information. Despite its value, creation of geospatial metadata is widely recognized as a complex and labor-intensive process, often creating a barrier to effective identification and evaluation of digital datasets. We will discuss our set of best practices for describing a variety of spatial content types using the ISO Series of Geographic Metadata Standards. We will share a series of Python and XSLT routines, which automate the creation of ISO-compliant metadata for geospatial datasets, web services, and feature catalogs. These auto-generation tools are designed to work directly with XML documents, making them suitable for use within any XML-aware cataloging platform. Our goals are to make metadata creation simpler for data providers, and to increase standardization across organizations in order to increase the potential for metadata sharing and data synchronization among the geospatial community.

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name: Metadata Management for Spatial Data Infrastructures


uk: Комп'ютерні науки

description: Recently, awareness and utilization of open source software has been increased, and interest of open source in spatial information industry has also been increased. Especially, in developing countries trying to build National Spatial Data Infrastructure (NSDI), movement to utilize open source technology is significant because it costs less for maintenance and it is easy to operate. The purpose of this research is to leave a case creating web-based platform environment to apply to the countries attempting to build real National Spatial Data infrastructure by developing and applying open source. In order to implement this, the user interface and services using OpenLayers, jquery, and Ajax were developed.

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name: The development of a geospatial creating system for National Spatial Data Infrastructure.


Stuffing your vector tiles full of data

uk: Комп'ютерні науки

description: Mapbox-style vector tiles are all the rage, but what if you want to put a lot more data into them than most people? Norway is a nice country with very detailed maps. When your roads are polygons, your fjords are award-winning in their complexity and individual flagpoles, drains and hedgerows have been added to the map, you have a bit higher data density than the average vector tile user. We wanted to see what would happen when you put all of that into a format that most people use for OpenStreetMap-style data. Join us for tales of zoom levels, bounding box woes, selective exports, tile size limits, generalisation choices and generation times that might just provide useful information for your future adventures with vector tiles!

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GeoServer on steroids

uk: Комп'ютерні науки

description: Setting up a GeoServer can sometimes be deceptively simple. However, going from proof of concept to production requires a number of steps to be taken in order to optimize the server in terms of availability, performance and scalability. The presentation will show how to get from a basic set up to a battle ready, rock solid installation by showing the ropes an advanced user already mastered. The topics that will be covered in details include: * Optimize vector and raster data for the deep multi-resolution displays typical of web GIS * Optimize styling to provide a good balance between map navigability and performance, identifying common performance pitfalls in the styling options * Setting up caching with GWC for the background layers, identify layers and situations that are not suitable for caching * Defend against peak hour load by setting service limits and using the control-flow extension * Using the monitoring extension to control the server in production and identify sources of trouble (long request, clients making too many/too heavy requests, layers and services used the most that could use more tuning attention) * Solutions for clustering GeoServer and GeoWebCache * Challenges in scaling beyond the few hundreds concurrent requests, and solutions to get there The presentation will end with real world examples of enterprise deployments of GeoServer implemented by the author as well as its colleagues at GeoSolutions during the years.

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description: We explain about the method of "Migrating" from Google Earth API to Cesium in this presentation. We have produced digital archives series including "Hiroshima Archive","Nagasaki Archive", "The East Japan Earthquake Archive" and so on using Google Earth API. http://e.nagasaki.mapping.jp/p/archives-series.html Since Google Earth API to be deprecated at the end of 2015, we had started "Migrating" from Google Earth API to Cesium. The Porting succeeded as a result of the trial and error. Our contents also run on smartphones and tablets as well as on PCs now. We explain know-how and merit / demerit of a shift to Cesium from Google Earth API in this presentation. For example, Basic function of Cesium, the implementation method, the difference between KML and CZML, Supported KML tags, and so on.

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