uk: Комп'ютерні науки

description: Automatic large-scale mapping of land cover classes facilitates applications in sustainable development, agriculture, and urban planning, and is therefore a commonly studied topic in remote sensing image processing, but typical deep learning approaches use models pre-trained on everyday image datasets like ImageNet and retrain them using only three channels (usually RGB), not fully leveraging the unique properties and spectral information of multispectral satellite images. The latest approach in our series of approaches, powered by new open satellite imagery datasets like BigEarthNet and machine learning libraries like fast.ai and eo-learn, explores the effect of pre-training convolutional neural networks on multispectral satellite imagery for country-scale land cover predictions on data for all of Slovenia in 2017.

uk: вхід без авторизації

name: Deep Transfer Learning for Land Cover Classification on Open Multispectral Satellite Imagery


Andrea Pogliaghi

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: PULSE (Participatory Urban Living for Sustainable Environment) is an EU-financed project that aims to develop a set of models and technologies to predict and manage public health problems in cities and promote health. It follows a participatory approach where citizen provide data through personal devices, that are integrated with information from heterogeneous sources: open city data, health systems, urban sensors and satellites. The project deals with various issues concerning air quality, lifestyle and personal behavior and it aims to investigate the correlations between the exposure to atmospheric pollutants, the citizen habits and the health of the citizen themselves, focusing on Asthma and T2 diabetes.PULSE is being implemented in 5 major cities. The presentation will concentrate on the key geospatial aspects of the platform, implemented using FOSS, highlighting issues and challenges. It will describe the most relevant components, such as satellite data processing, deployment of sensors, management of acquired spatial data, WebGIS and Dashboard tools to provide spatiotemporal visualization and analysis, the integration of models, the definition of relevant index to connect epidemiologic data with spatiotemporal representation

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: The case of PULSE: fostering sustainable environments using geodata with a participatory approach

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: The SoDUCo is a research project proposes to develop methods and models to study the evolution of the urban spatial structure in relation with social and professional practices. It allows the qualification of geo-historical sources (maps, directories, etc.), the semi-automatic extraction of the information and their (spatio-temporal) matching. Software components are all open-source and produced datasets are free to reuse. The reconstitution of the evolution of Paris from 1789 to 1950 will be done by using two specific sets of sources: master maps (datasets mainly from the BnF (French National Libray)) and the complete series of cadastral maps which describe the evolution of road networks and urban fabric and, for the same time period, street & trade directories, which provide the socio-professional activities aor status of people localized by their addresses. This talk will show how partners (French National Institute of Geographic and Forest Information (IGN), EHESS, National Archives and EPITA ) will build the final product of the SoDUCo project consisting in the first unified, distributed, reusable and interoperable platform to handle geo-historical sources. We will also show how we animate this cross-domain project.

uk: вхід без авторизації

name: Social Dynamics in Urban Context (SoDUCo): Building open tools and datasets to explore the spatial and social history of Paris, 1793 - 1950


uk: Комп'ютерні науки

description: Working with the software for geospatial data visualization or analysis, we always spend time to change styles, define the extent, grid size or influenced area. It is not just a time-consuming activity and a threshold for newcomers - for lot’s of cases using default parameters could mislead the researcher and return inappropriate results. It’s time to change it over.

uk: вхід без авторизації

name: Reconsidering Default: Why default parameters matter and how to make them meaningful


uk: Комп'ютерні науки

description: It is a common thing when pattern analysis cases are just about visualizing the features. The talk would start with a gentle introduction into pattern analysis algorithms. I would focus on the benefits of using analysis in comparison to visualizing methods, present cases and show pitfalls in usage and implementing these algorithms.

uk: вхід без авторизації

name: From Visualization to Analysis: Stop using heatmaps to discover spatial patterns


uk: Комп'ютерні науки

description: Korea's first- and second-generation new towns have been developed as self-sufficient cities that can accommodate about 100,000 people. However, many new town residents are commuting to a longer distance and feel uncomfortable about their last mile commuting trip. A viable option to address this issue is to introduce a shared mobility service to their last mile trip from a local transportation hub to their home. This presentation analyzes these last miles commuting trip using smart card data, navigation map subscribers' travel patterns, and telecom carrier's Origin and Destination (OD) data on people’s movement. And then author predict the converted shared mobility demand from the calculated existing last mile trip. Lastly, author propose sharing port locations for car sharing, ride sharing, electric bike and personal mobility such as kick boards, etc., based on predicted shared mobility demand. In this presentation, the author also would like to share the trial and error in the process of spatial analysis and design. Keyword: Last Mile Commuting Trip, Shared Mobility, Personal Mobility, Sharing Port, Transportation Big Data

uk: вхід без авторизації

name: Shared Mobility Service With Mobile Statistics: Case for Unjeong new town development


uk: Комп'ютерні науки

description: With the LiDAR developments, point cloud is becoming a valuable resource to build 3D models of Digital Twins, the virtual representation of a real world physical feature (object or system). Even though 3D point cloud can be more suitable to depict the real world, it requires HPC. 3D model representations help applications to quickly handle and navigate data comparing to point cloud. However, the 3D model construction of every physical feature usually necessitates expensive time and labor resources to organize and extract the features outlines by interactive manual operations. Recently, deep learning is used to derive semantic classes necessary for 3D modeling by automated classification and segmentation. PinSout (Point-in Space-out) is a new framework to automatically generate CityGML LOD4 from raw 3D point cloud data by using PointNet. This framework extracts each object required for 3D indoor space modeling from point cloud after learning the deep model with the annotated dataset of Standford Building Parser. After the semantic segmentation, it computes the contour of an object using PCL to augment each spatial indoor model. Finally, the extracted objects are stored into 3D CityDB and provided as CityGML LOD4 data.

uk: вхід без авторизації

name: PinSout: Accelerating 3D Indoor Space Construction from Point Clouds with Deep Learning


uk: Комп'ютерні науки

description: National Forest Inventory is an independent survey on the state and development of forests. It is based on mathematical–statistical models. The inventory is now divided into three cycles, the first cycle was realized in 2001–2004, the second one was implemented in 2011–2015 and the third one has been carried out in 2016–2020 [1]. The second part of National Forest Inventory (NFI2) results have been processed and divided into thematic chapters including Forest Area, Growth, Mortality, Tree Species Representation, Age Structure, Forest Regeneration, Dead Trees, Game Damage, etc. I would like to aim my talk to the visualisation of the results in the form of graphs and maps. The basis for the graphical results are statistically processed data. The data are stored in a PosgreSQL database in the form of views. The views have the same structure including estimation, maximal, minimal value, standard deviation and ratio for the selected thematic chapter. The graph properties are created by the functions using R Project linked to a set of functions in PosgreSQL that make the graph in the form of raster or vector image. The set of functions in a database prepare data for maps. The data are visualized using suggested templated in QGIS.

uk: вхід без авторизації

name: National Forest Inventory (NFI) in the Czech Republic presented in Graphs and Maps


uk: Комп'ютерні науки

description: Planet with the help of GAF AG has established an adapter system that bridges the gap between Planets Advanced EO Imaging Platform and the Copernicus Space Component Data Access (CSCDA) Data Warehouse (DWH) project. For contributing to the ESA-CSDA, required interfaces to the ESA Coordinated Data Access System (CDS) and the Copernicus Service Projects (CSPs) have to be provided. We decided to implement those interfaces based on Planets Advanced EO Imaging Platform and Free and Open Source Software. In this talk we will describe the implementation phases of the project. In phase 1 we provided the workflows that are necessary for Emergency Rush Satellite Tasking, Crisis Monitoring and for Emergency Retrieval from Archive. In phase 2 we provided the HMA (Heterogeneous Mission Accessibility) interfaces for the Catalogue Service for the Web and the OSEO (Ordering Services for Earth Observation Products). Finally we will discuss the lessons learned as well as future opportunities for the development of the Planet Copernicus Contributing Mission (CCM).

uk: вхід без авторизації

name: Bridging the gap between Planets Advanced EO Imaging Platform and ESA-CSCDA


uk: Комп'ютерні науки

description: This is the ESA slot. abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text

uk: вхід без авторизації

name: Space-enabled opportunities in business incubation, applications and services


uk: Комп'ютерні науки

description: GEO 101 is a gentle introduction to all activities and developments of the Group on Earth Observations. The GEO Global Water Sustainability Initiative (GEOGLOWS) changes the paradigm for how streamflow information is created and disseminated. Traditionally, each water organization was required to have the expensive infrastructure and capacity to access large global datasets and develop their own models to forecast streamflow useful for decision-makers. Using the GEOGLOWS global streamflow services they no longer have to have their own internal infrastructure for modeling, but instead can access the streamflow forecasts through web services and use them according to their own prioritized needs. This freely provided streamflow information, which leverages the hydrometeorological computational expertise of the GEOGLOWS Partnership, saves millions of dollars and allows national and local agencies to use precious resources for developing solutions and applications specific to their local water resources management needs.

uk: вхід без авторизації

name: GEO 101 - an intro to the Group on Earth Observations (GEO). GEOGLOWS: EO and global streamflow forecasting


uk: Комп'ютерні науки

description: The Group on Earth Observations (GEO) has been advocating for and delivering access to open Earth observations (EO) data and information for more than a decade. The GEO Work Programme is a key implementation mechanism to help deliver the GEO vision and mission to deliver benefits to society via the collaborative work of national governments, the research and academic communities, the private sector, international organisations, non-governmental organisations and civil society. The purpose of this keynote is to highlight the range of activities underway on open EO data globally and highlight possibilities for open source software contributions, notably in the context of GEO.

uk: вхід без авторизації

name: Evidence based decision making: open source opportunities to drive global change


uk: Комп'ютерні науки

description: In this keynote, we’ll explore the explosive growth in quantity of geospatial data, and how this is fueling the need to more frequently join geospatial data with traditional data. We’ll explain how those new scale requirements demand a massive improvement in speed, and how GPUs can be used to accelerate the querying of geospatial data using an open source in-GPU-memory SQL database. Finally, we will demonstrate interactive analysis of the entire, global Open Street Map dataset as an example of what is now possible.

uk: вхід без авторизації

name: Using GPU-acceleration to Interact with Geotemporal Data at Planet-Scale


uk: Комп'ютерні науки

description: Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

uk: вхід без авторизації

name: Pivoting to Monetize Mobile Hyperlocal Social Gamification by Going Viral in the Cloud


keywords:
General
Africa Bees

uk: Комп'ютерні науки

description: Africa Bees was hatched at FOSS4G 2018 in Tanzania! The power of drones and the demand for more detailed mapping in Africa has boomed in many sectors such as development, construction, flood prevention, humanitarian response and environmental safe guarding. Based on open source Geonode servers and connecting QGIS clients a platform is now available for drone pilots in Africa to be empowered and be part of a community that can capture and contribute imagery, 3D mapping and elevation (DSM, DTM and Point Cloud) data for a wider community. Welcome to the hive!

uk: вхід без авторизації

name: Geonode business portal for Drone Mapping in Africa


uk: Комп'ютерні науки

description: Augmented Reality when connected persistently to the physical world through 1:1 scale 3d real-time updated digital twins allows us to create a shared programmable space or superverse that lets us paint the world with data and let our digital lives escape from the small glowing rectangles into the real world around us and experience it together. This technology has been named AR-Cloud. In October 2018 the Open AR Cloud association (OARC) was formed to brings people together to build an open AR-cloud ecosystem that works for everyone, everywhere on every device and every platform while respecting the right to privacy, freedom, and safety of all the users. On the 12th of February 2019 12 working groups is being formed to solve some of the hardest problems in spatial computing. The talk talks of the promise and peril of AR-cloud technology and OARC ongoing work to try and make this technology reach its potential to do good in the world. We think this is best done through open standards processes, open source, transparency and respect for the digital rights of individuals.

uk: вхід без авторизації

name: The Open Superverse: an open & interoperable geospatilly anchored digital ecosystem for all: Why Open AR Cloud wants the Digital Upgrade of Physical Reality to build on the best of the Open Web


uk: Комп'ютерні науки

description: Keeping geospatial web services operational is best paired with monitoring. Downtime is a key performance indicator, however so are service functionality and performance. The OGC has created a Quality of Service and Experience Domain Working Group to research and provide best practices, illustrating the importance of this topic. There are many HTTP monitoring tools that track general status and uptime. However, OGC web services often have custom reporting errors which are usually not considered. Examples include custom errors or null results based on database issues. In these cases a generic uptime checker will assume the service is functioning correctly though the response says otherwise. These issues illustrate the value of OGC-aware service monitoring and have been missing from the FOSS4G ecosystem. Until now. GeoHealthCheck (GHC) is an OGC web services monitoring framework. GHC is written in Python as part of the GeoPython GitHub Organization. GHC is a monitoring engine that executes “health checks” and a web application which reports on key performance indicators. GHC also supports a plugin framework for specific requirements. This presentation will provide an overview of GHC as well as upcoming features and future plans.

uk: вхід без авторизації

name: GeoHealthCheck: A Quality of Service Monitor for Geospatial Web Services


Working with 3D city models in Python

uk: Комп'ютерні науки

description: Semantic 3D city models are one of the cornerstones of the so-called "smart city" applications, yet they are very difficult to manipulate/edit/update. While they are relatively easy to generate, their use and maintenance is limited by the available software and the cumbersome data model. Have you ever tried to write a CityGML file? And to parse one? We did, and we didn't like it. Therefore we created a developer-friendly JSON implementation of the CityGML data model. This talk will introduce *CityJSON* and its processing software *cjio*, which can be used as a CLI to chain operations, or its API can be used to generate features for machine learning.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Our seas and oceans are substantially polluted by conventional and chemical munitions from the two World Wars. They were introduced by different pathways e.g. mine laying, naval battles and shipwrecks. However, the biggest amount originates from large scale ammunition dumping activities after World War II. The goal of the OpenSource based Ammunition Cadastre Sea is therefore data acquisition, assessment and monitoring of the status of ammunitions in our seas and oceans and their effects. Almost all relevant data in this field has a spatial context. Therefore the idea is capturing, visualizing and analyzing everything that is related to ammunition in the sea (e.g documents, maps, high-resolution measurements) and combine everything by spatial relationships. In addition, a key component of the Ammunition Cadastre Sea are European research projects e.g. DAIMON or North Sea Wrecks. DAIMON (Decision Aid for Marine Munitions) uses for example artificial intelligence to analyze complex situations and provides recommendations for actions.

uk: вхід без авторизації

name: Ammunition in the Sea: How OpenSource is used to locate mines, bombs and other ammunition from the World Wars.


uk: Комп'ютерні науки

description: From the data activism in Mexico (OpenStreetMap, Geochicas, and individual), I sought to make the civil and public actors aware of the use of data, the analysis, the research of rich and varied data, the integration of data from the citizens, in particular with a Gender perspective. In Mexico, where gender-based violence is a serious obstacle in women daily life and development, and where data is poor in general to show social issues and improve policies, it's a real challenge for civil society and academics to lobby policies making through data.

uk: вхід без авторизації

name: Spatial data analysis for gender policy lobbying

name: Open Source Geospatial Foundation (OSGeo)


An OGC Api to get geospatial data

uk: Комп'ютерні науки

description: A new era is upon us. The OGC service architecture is undergoing a clean break in an attempt to modernize geospatial API standards. REST, JSON and OpenAPI are now common terminology in emerging OGC API standards. This change will greatly lower the barrier to implementation of services, clients and associated toolkit. pygeoapi is a young and emerging project that is an early adopter of the new OGC API efforts. pygeoapi is an extensible geosaptial web API framework based in Python that already supports WFS 3.0. This presentation will provide an overview of the project, standards supported, extensibility/plugin framework, real world implementations as well as future plans.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Community mapping efforts in Dar Es Salaam are enabling local leaders to leverage information about the most granular level of community administration that exists in Tanzania. Originally intended to demarcate 10 households (ten-cell boundaries), these "shina" boundaries now encompass hundreds of households in informal settlements and are already being used by one of Dar's largest hospitals to track patients' origins at an unprecedented resolution.

uk: вхід без авторизації

name: Taking community mapping to a new level (literally) in Tanzania


uk: Комп'ютерні науки

description: The UN Open GIS Initiative is catalyzing the development of an open community for basemap vector tile providers. The Initiative promotes the UN Vector Tile Toolkit, a package of open source tools designed to enable public basemap providers, such as the United Nations geospatial information services or governmental mapping organizations, among others, to deliver their basemap vector tiles leveraging the latest web map technologies. The toolkit provides a set of Node.js open source scripts designed for developers to use in conjunction with existing and proven open-source vector tile software (such as [Tippecanoe](https://github.com/mapbox/tippecanoe), [Maputnik](https://github.com/maputnik/editor), [Mapbox GL JS](https://github.com/mapbox/mapbox-gl-js) and [vt-optimizer](https://github.com/ibesora/vt-optimizer)). The toolkit will help organizations to produce, host, style, and optimize fast and interoperable basemap vector tiles, making them available with various application frameworks. This paper presents the methodology followed to support the requirements from the UN Peacekeeping operations’ point of view. The significant challenges were to ensure (1) flexibility of the software so that it works with different source data, including UN mission-specific basemap data and global OpenStreetMap data, (2) automatic and continuous update of global basemap vector tiles, (3) fast vector tiles that can be used with mobile devices in the field, and (4) interoperability with existing enterprise geospatial software frameworks. We approached these challenges by introducing "on-the-fly vector tile schema modification" to the Toolkit so that an agile adaptation, improvement, and optimization of the vector tile schema is possible. This method also reduces the use of temporary storage and improves the processing time by exploiting the outstanding stream processing capabilities of Node.js and Tippecanoe. We also adopted an approach to produce basemap vector tiles in modules, so that the processes to produce and deploy the vector tiles are well pipelined. This modularization approach also extended the scalability of the Toolkit by allowing parallel or even distributed production. Quantitative measurements, like in vt-optimizer, were other dominant methodology adopted in the Toolkit that enabled evidence-based performance tuning and production time reduction the vector tiles. As a result, we successfully implemented automatic and continuous updates of basemap vector tiles from a continuously updated PostGIS database. The paper also covers how the project ensured interoperability with different existing enterprise geospatial software frameworks that use less-advanced web map libraries. The project aims to build a sustainable community of developers supporting the provision of fast and interoperable basemap vector tiles that meet the requirements of various users in the field missions and UN headquarters among others.

uk: вхід без авторизації

name: Design and development of the UN Vector Tile Toolkit


uk: Комп'ютерні науки

description: pgRouting extends the PostGIS / PostgreSQL geospatial database to provide shortest path search and other network analysis functionality. This presentation will show the inside and current state of the pgRouting development, from its wide range of shortest path search algorithms and other algorithms like driving distance calculation or “Traveling Sales Person” (TSP) optimization, graph contraction, flow analysis etc. Additionally we will give a brief outlook and introduction of upcoming new features on the version 3.0. We will explain how the data structure is important to get better routing results. Furthermore we will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality. You will also learn about difficulties and limitations of the library, and when pgRouting might not be not the right tool to solve your routing problem. Links to project: https://github.com/pgrouting/pgrouting

uk: вхід без авторизації

name: Shortest path in the database and more with pgRouting


Urban Geo Big Data

uk: Комп'ютерні науки

description: Nowadays about 54% of world population lives in urban areas and, according to the 2014 UN-ESA report, this percentage is expected to increase up to 66% by 2050. We are clearly facing a rapid and global trend, that will affect daily life in the next few decades. It is, therefore, crucial to managing this social and cultural change in a much more sustainable way, compared to what was done in the past. Within this framework, the collection, integration, and sharing of reliable and open spatial information is a key factor, benefiting both of different space (Earth Observation (EO) satellites and Global Navigation Satellite Systems (GNSS)) and ground (low-cost devices networked in the Internet of Things (IoT), 50 billion are expected within 2020) technologies. The contribution deals with the general presentation of the Urban Geo Big Data, a collaborative acentric and distributed free and open source platform consisting of local data nodes for data and related service Web deploy, a visualization node for data fruition, a catalog node for data discovery, a CityGML modeler, data-rich viewers based on virtual globes, an INSPIRE metadata management system enriched with quality indicators for each dataset.For data visualization and analysis, a 3D model of the urban environment was created. CityGML is an open standard that has been thoroughly tested in the past years. One of the activities in this project was to create an Extract, Transform and Load (ETL) procedure for converting information from cartographic sources into CityGML at LOD1 (Level of Detail 1). Data are viewable by means of Cesium or Web World Wind depending on the specific examined case. Three use cases in five Italian cities (Turin, Milan, Padua, Rome, and Naples) are examined: 1) urban mobility; 2) land cover and soil consumption at different resolutions; 3) displacement time series. Concerning mobility data and analysis, particular attention has been given to data modeling and processing algorithms with the aim to deliver value-added information enabling standard and innovative services (Origin/Destination matrix, flows checking, routing options, etc.) based also on crowdsourced data. Land cover and soil consumption data derive from semi-automatic classification of Sentinel 1 and 2, integrated with Copernicus land monitoring services at different resolutions and enhanced by photo-interpretation. Several environmental and landscape indicators are assessed at municipal level, exploiting spatial datasets. For displacement, SAR derived time series and the related Web services (WMS, WFS, and WMTS) metadata in RNDT format (the Italian extension of INSPIRE format) are automatically generated thus relieving the data provider from the need to create them manually. Besides the case studies, the architecture of the system and its components will be presented.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: The figure of the Earth can be modelled either by a cartesian plane, a sphere or an (oblate) ellipsoid, in decreasing order with respect to the approximation quality. The shortest path between two points on such a surface is called a geodesic. Studying geodesic problems on ellipsoids dates back to Newton. However, the majority of open-source GIS systems today use methods on the cartesian plane. The main advantages of those approaches are simplicity of implementation and performance. On the other hand, those approaches come with a handicap: accuracy. We experimentally study the accuracy-performance trade-offs of various methods for distance computation (as well as similar geodesic problems such as azimuth and area computation). We test projections paired with cartesian computations, spherical-trigonometric computations and a number of ellipsoidal methods such as [Andoyer'65] and [Thomas'70] formulas, [Vincenty'75] iterative method, great elliptic arc's method, and [Karney'15] series approximation. We also show that some methods from the bibliography (e.g. [Tseng'15]) are neither faster nor more accurate compared to the above list of methods and thus become redundant. For our experiments we use the open source libraries Boost Geometry and GeographicLib. Our results are of independent interest since we are not aware of a similar experimental study. More interestingly, they can be used as a reference for practitioners that want to use the most efficient method with respect to some given accuracy. Geodesic computations (such as distance computations) apart from being a fundamental problem in computational geometry and geography/geodesy are also building blocks for many higher level algorithms such as k-nearest neighbour problems, line interpolation, densification of geometries, area and buffer, to name a few. # References * Some experimental results can be found here: https://github.com/vissarion/geometry/wiki/Accuracy-and-performance-of-geographic-algorithms * A related talk (with some graphs on performance and accuracy) can be found here https://fosdem.org/2019/schedule/event/geo_boostgeometry * The source code of most of the algorithms of the study is in Boost Geometry: https://github.com/boostorg/geometry but we contain to our study GeographicLib https://geographiclib.sourceforge.io

uk: вхід без авторизації

name: Geodesic algorithms: an experimental study


uk: Комп'ютерні науки

description: Agency for Communication Networks and Services of the Republic of Slovenia (AKOS) is the national regulator and one of its missions is to promote competition, to ensure equal conditions for the operation of electronic communication network operators and service providers. AKOS established open source mapping system using PostgreSQL/PostGIS, QGIS and Geoserver for effective supervision of electronic communications and services. Database consists of spatially oriented data as well as attribute data collected from owners of electronic communications infrastructure and different public institutions e.g. The surveying and mapping authority of the RS, Ministry of the interior, etc. Combining these data gives AKOS complete overview of the networks availability and population/homes coverages by various broadband and mobile networks. Database is being updated every few months with newer data, so we can monitor development of broadband services by years and by owners of communications infrastructure. AKOS launched an open portal to enable public access to the part of these data for interested stakeholders in 2019. Main purpose of this portal is to reduce costs of building superfast networks (VHCN), encourage co-usage and joint construction.

uk: вхід без авторизації

name: Building an open source mapping system for support of regulatory activities in the field of electronic communications networks


uk: Комп'ютерні науки

description: The assessment of renewable energy potentials in urban environments gained a lot of interest in the recent decades due to CO2 reduction goals by cities, national policies as well as directives by the EU. In combination with advances in data creation and processing as well as the definition of standards like CityGML, new ways of modeling urban potentials have been developed. This lead to numerous approaches estimating roof-top solar photovoltaic (PV) production. However, in recent years due to research in building materials, the façades became more attractive and feasible for PV electricity production. This paper describes results on the development of an completely FOSS-based approach to assess the electricity production potential by building façade PV. To estimate solar irradiation we followed the hemispherical viewshed approach described by Fu, 1999. Combining it with an approach to dissect walls into regular 3D point grids (1 meter spacing) we calculate the sun visibility (each hour) and the sky viewshed throughout the year. This results in direct and diffuse irradiation for every wall point. To generate the electricity potential, the irradiation values are summed up for the wall points and are fed into an economic model. This is driven by technical parameters of the installation, such as module efficiency, installation and maintenance costs, figures about payback tariffs and envisaged module lifetime. The overall result is a city-wide PV suitability and electricity production potential map of every building façade. The processing is based on a city model in the CityGML format using the 3DCityDB database and the spatial processing functionalities of PostGIS. A set of Python scripts has been developed as a central control instance. The scripts control the processing of direct and diffuse irradiation as well as clear sky irradiation relying on the external “pvlib” Python library. Furthermore, we use the scripts to manage parallel processing of queries against the database to achieve scalability and improved performance. The parallelisation is done by processing single building walls. We run a case study with approximately 7000 single wall elements to process. We identified so far one of the major bottlenecks of the approach. This are the calculations of sun visibility for every wall point per timestamp (intersection with surrounding buildings) which takes per wall several minutes to process depending on the number of points per wall. Since we implemented a parallel processing of the walls running on a 80-core dedicated server machine, the completion for an entire city of 3 million wall points uses a decent amount of time for the given size of data set. Here we describe a scalable and highly parallelised approach which can be easily implemented through standard tools and libraries. This open up now for distributed approaches using multiple database servers for even better scalability.

uk: вхід без авторизації

name: A Scalable Approach for Spatio-Temporal Assessment of Photovoltaic Electricity Potentials for Building Façades of Entire Cities


uk: Комп'ютерні науки

description: QGIS - like Geoserver, Mapserver and all the great OSGEO project - do no longer need to prove they can do the job. We now have millions of users, with great expectations, growing budgets and growing communities. Still we lack funding for boring tasks : packaging, bugfixing, documentation, QA and marketing needs some love. **What about changing minds and stop saying open source does not cost anything ?** Could that solve this situation where countries having most users also have the less contributors ? This talk will take profit of real life examples of big corporations that decided to pivot their approach from "using open source" to "embrace Opensource". Let's get out of our technical comfort zone and expose ourselves to enlarge our contributors' base. This is a **deeply optimistic** talk looking right into the eyes of what we need to improve, as an opensource ecosystem !

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name: Do Open Source contributors do more than they should do?: QGIS as a reference project to find sustainable ways to rock!


uk: Комп'ютерні науки

description: Stefano Gobbi(1,2,3), Maria Giulia Cantiani(1), Duccio Rocchini(1,2), Paolo Zatelli(1), Clara Tattoni(1), Marco Ciolli(1), Nicola La Porta(2,3). 1 Università degli Studi di Trento, Dipartimento di Ingegneria Civile, Ambientale e Meccanica, Trento, Italy 2 Fondazione Edmund Mach, San Michele all’Adige (TN), Italy 3Mountfor Research center, San Michele all’Adige (TN), Italy Trentino is an Italian alpine region (about 6200 Km2) with a forest coverage exceeding 60% of its whole surface. In the past, forest landscape has changed dramatically, especially in periods of forest over-exploitation. Previous studies in some Trentino sub-regions (Val di Fassa, Paneveggio) have identified these changes and the current trend of forest growth at the expenses of open areas, such as pastures and grasslands, due to the abandonment of rural areas. This phenomenon leads to the rapid Alpine landscape change and profoundly affects the ecological features of mountain ecosystems. To be able to monitor and to take future actions about this trend it is fundamental to know in detail the historical situation of the progressive changes on the land use that occurred over Trentino. The work aims to comprehensively reconstruct the forest cover of whole Trentino at high resolution (5m x 5m pixels) using a series of maps spanning a long period, consisting in historical maps, aerial images, remote sensed information and historical archives. The datasets were archived, processed and analyzed using the Free and Open Source Software (FOSS) GIS GRASS and QGIS. Historical maps include “Atlas Tyrolensis” (dated 1770), “Theresianischer Kataster” (dated 1859) and Italian Kingdom Forest Map (IKFM) of 1936. The aerial imagery dataset includes aerial images taken in 1954, which have been orthorectified during this research, and orthophotos available for years 1973, 1994, 2000, 2006, 2010 and 2016. Remote sensed information includes Landsat and recent Lidar data, while historical archives consist mostly in Forest Management Plans available since around 1950. The versatility of the wide variety of modules supplied from the FOSS GRASS and QGIS enabled to perform a diverse set of analysis and pre-processing (e.g.:orthorectification) on a heterogeneous dataset of input images. We will focus on the different strategies and methodologies implemented in the FOSS GIS used to process the various types of geographic data, challenges for the future of the research and the fundamental role of the FOSS systems in this process. Quantifying forest change in the time-span of our dataset can be used to perform further analysis on ecosystem services, such as protection from soil erosion, and on modification of biome diversity and to create future change scenarios.

uk: вхід без авторизації

name: Fine spatial scale modelling of Trentino past forest landscape (TRENTINOLAND): a case study of FOSS application


uk: Комп'ютерні науки

description: When disaster strikes developing countries, a lack of geographic data is often a hindrance to first response and relief operations. To address this lack of geographic data, remote mapping and especially mapathons have played an important role in collecting geographic data in OpenStreetMap (OSM) that can be used to plan activities in areas effected by disaster or other humanitarian efforts. During mapathons, volunteers from various backgrounds get together to map a specific area using satellite imagery or aerial photographs. The expertise and motivation of these volunteers generally differ. Even though the geographic data in OSM is invaluable in cases where little to no data is available, the quality of the data collected during mapathons is often questioned. In this paper, we present our results from an evaluation of university students’ motivation for participating in mapathons and their productivity (i.e. how much data they contributed). To achieve our aim, we hosted four mapathons for final year university students where the participants were asked to complete a short questionnaire to determine their motivations and personal opinions of the mapathon. Afterwards, the productivity for two mapathons were evaluated. Final year students enrolled in a geoinformatics module were offered extra credit for participating in the mapathons. As a result, the majority of the students participated in all four mapathons and the answers did not differ significantly between the four mapathons. One of the main reasons mentioned, apart from extra credit, was that the participants felt a sense of humanitarianism through contributing to communities in need by assisting. Additionally, the social aspect also came through with a large percentage of the participants indicating that mapathons are fun and that they learned something new, for example by improving their digitizing skills or that humanitarian organizations need help. Participants also indicated that the tools (i.e. OSM and iD editor) were easy to use, but that the imagery is sometimes not good enough due to cloud coverage. The general productivity for two mapathons was evaluated and we found that with more experience the participants were generally more productive. A further step was taken by investigating five individuals productivity. It was clear that their productivity increased, and that they made fewer errors during the subsequent mapathons. The results from this evaluation provided insight and knowledge that could assist mapathon organisers to create a more productive environment for participants with the hopes of encouraging them to produce high quality data. The feedback from students was clear that if they receive information about the aim of a mapathon and why the data is important, they are more motivated to produce high volumes of quality data.

uk: вхід без авторизації

name: Evaluating student motivation and productivity during mapathons


uk: Комп'ютерні науки

description: In this paper, we address the course of dimensionality and scalability issues while managing vast volumes of multidimensional raster data in the renewable energy modeling process in an appropriate spatial and temporal context. Tensor representation provides a convenient way to capture inter-dependencies along multiple dimensions. In this direction, we propose a sophisticated approach of handling large-scale multi-layered spatio-temporal data, adopted for raster-based geographic information systems (GIS). Moreover, it can serve as an extension of map algebra to multiple dimensions for spatio-temporal data processing. We use the multidimensional tensor framework to model such problems and apply computational graphs for efficient execution of calculation processes. In this approach, spatio-temporal data can be represented as non-overlapping, regular tiles of 2-D raster data, stacked according to the time of data captured. As a case study, we quantify the spatio-temporal dynamics of solar irradiation calculations and 2.5-D shadow calculations for cities at very high space-time resolution using the proposed framework. For that, we chose Tensorflow, an open source software library developed by Google using data flow graphs and the tensor data structure. We provide a comprehensive performance evaluation of the proposed model against r.sun based on GRASS GIS. Benchmarking shows that the tensor-based approach outperforms r.sun by up to 60%, concerning overall execution time for high-resolution datasets and fine-grained time intervals for daily sums of solar irradiation [Wh.m-2.day-1]. Precisely, the main characteristics of the proposed framework include defining, optimizing and efficiently calculating mathematical expressions involving multi-dimensional arrays (tensors); Transparent use of GPU computing such that the same code can be run either on CPUs or GPUs; Implicit parallelism and distributed execution with high scalability offered by data-flow based implementation. Moreover, the Python implementation of the proposed model makes it GRASS GIS ‘Add-on’ compatible.

uk: вхід без авторизації

name: A Tensor Based Framework For Large Scale Spatio-Temporal Raster Data Processing


uk: Комп'ютерні науки

description: As the United Nations (UN) is a complex organization carrying out divers tasks in the world, most functions for an enterprise GIS are required. In order to support the requirements from the UN, the UN Open GIS Initiative was founded in 2016 with goals to provide GIS solutions for the UN based on open source software. The working group 3 of the initiative, named Spiral 3, aims to develop and deliver geo-analytic functions to the UN. In particular, a number of geo-analytic functions are developed by Spiral 3 to support field operations such as UN peace keeping operation. In this paper, we present a development use-case of geo-analytic functions for the UN, which is composed of four steps; analysis of requirements and functional specification, definition of development environment and system architecture, system development and test, and documentation of user manual and education materials. First, a comprehensive study on UN operations has been carried out, which covers the following tasks; situational awareness, security operations, military operations, protection of civilians, human rights violation investigation, epidemiological analysis, mission’s support and logistics operations, electoral support, disarmament, demobilizations and reintegration program, and humanitarian response operations. From this study, we derived 26 primitive geo-analytic functions. The users of geo-analytic functions for these tasks include mostly officers at field offices and geo-analysis experts at mission headquarters. Second, the system development environment was determined as Java using GeoTools for the compatibility and portability. The geo-analytic functions were developed as a plug-in of uDig, which is a Java-based open source desktop GIS. It means that the preparation and pre-processing of data for geo-analysis and the visualization of the analysis are supported by uDig. Third, an experiment of the developed system was performed with a scenario of Ebola virus spread. It shows that the system properly supports the field operations of Ebola virus spread. The experiment also shows the strength and weakness of the developed geo-analysis functions in comparison with commercial GIS. As the fourth step of the development, a user-manual is published via web and an education material was also developed under the OSGeo-UN Committee Educational Challenge Program. Through the use-case study presented in the paper, we would like to share the experiences and lessons about the development of geo-analytic functions, which would be used as a reference for other geo-analytic function development.

uk: вхід без авторизації

name: Geo-Analytic Functions for UN Field Operations – UN Open GIS: Spiral 3 Geo-Analysis


Mesh: GIS data beyond raster and vector

uk: Комп'ютерні науки

description: Most real world features can be presented as vector or raster layers. In open source world, GDAL provides a comprehensive set of tools to interact with such datasets. But vector or raster is not always a suitable description of real world features. Data from oceanography, metrology, hydrology, etc often have multiple components at each location on an irregular structured mesh. A **mesh** can a collection of vertices, edges and faces in 2D or 3D space: - vertices - XY(Z) points (in the layer's coordinate reference system) - edges - connect pairs of vertices - faces - sets of edges forming a closed shape - typically triangles or quadrilaterals (quads), rarely polygons with higher number of vertices ![Example of mesh](https://user-images.githubusercontent.com/193367/38030812-f6c4f174-3299-11e8-91ed-30684ceae715.png) Mesh gives us information about the spatial structure. In addition to the mesh we have **datasets** that assign a value to every vertex. For example, ice cap thickness at particular moment of time. A single file may contain multiple datasets - typically multiple quantities (e.g. water depth, water flow) that may be varying in time.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Data collection is an essential part of most GIS users. There are several mobile apps (open source and proprietary) which can be used carry out such tasks. We have extended QGIS libraries to take advantage of [QT Quick framework](https://doc.qt.io/qt-5/qtquick-index.html) and introduced [QGIS Quick library](https://github.com/qgis/QGIS-Enhancement-Proposals/issues/109). QGIS Quick library has become a part of the official QGIS project and it adds the possibility to create custom mobile apps. Just like plugin architecture for desktop QGIS allows great flexibility to introduce custom functionality, QGIS Quick library provides similar groundwork for mobile mapping apps. [Input](https://github.com/lutraconsulting/input) a free and open source mobile app has been developed, leveraging on the new QGIS Quick library.

uk: вхід без авторизації

name: Input: A touch friendly mobile app for data collection


uk: Комп'ютерні науки

description: In 2018, Ecometrica Ltd. was tasked with identifying potential deforestation over 7000 sites spread across South America over a one year period. This required the analysis of more than 15 Terabytes of satellite imagery, and was equivalent to processing a total area of approximately 25 million km2 for the entire time sequence. Given the vast area and dense time series data required, we developed an approach that uses freely available data from Sentinel 1 (radar) and the Hansen et. al. Forest/Non-Forest map, and processed the imagery with using an open source stack including data preparation software (SNAP toolbox), Omnibus change detection algorithm, and Python 3.x GIS libraries (GDAL, Fiona and Rasterio etc).

uk: вхід без авторизації

name: Deforestation Monitoring using Change Detection: Developing a processing and analysis pipeline for monitoring deforestation via satellite


uk: Комп'ютерні науки

description: Image classification of urbanization processes require reference data either for training or for validation. However, there is scarcity of reference labeled datasets specifically to detect urban areas. In this talk, I will present three approaches for collection of open-source reference data that mark built-up areas.

uk: вхід без авторизації

name: Remote Sensing Analysis for Urban Research at Scale


uk: Комп'ютерні науки

description: Open data and publicly available satellite imagery are transforming how cities can prepare for disaster and climate risks and strengthen urban resilience. In this talk, we present a data-fusion approach that utilizes free satellite imagery (Sentinel-1 and 2) to identify flood prone areas in developing cities. The approach, which is fully automated, relies on SAR (Sentinel-1) and optical data (Sentinel-2) to identify and map urban areas that have been prone to flooding in the last 5 years.

uk: вхід без авторизації

name: Free Satellite Data for Stronger City Resilience


uk: Комп'ютерні науки

description: The Open Green Map app has been used by map makers around the world to collect thousands of green sites over the last decade. With a new implementation, the Open Green Map has potential to truly live up to its name, and achieve a sharable, scalable, fast and easy to use application. This is what the project I will present sets out to do. Working on an open source project can sometimes make it seem like compromises around performance or user centric design are reasonable. What if you don't want to compromise in any of these 2 directions? By using an appropriate and modern tech stack, along with generative programming techniques, we hope to introduce a new approach for creating GIS applications. This talk will introduce how the new Open Green Map app works, and advantages of using DLang and Ember for a GIS app. We will also take a look at challenges that arise in relation to implementing GIS applications while having plenty of constraints around resources, and when helpful open source libraries are missing. The presentation will include an overview of the infrastructure, examples of how we generate REST APIs based on the app models and a quick look at how we efficiently display the sites on maps.

uk: вхід без авторизації

name: Mapping Green goes Open with the GIS Collective


Designing for Crisis

uk: Комп'ютерні науки

description: Ushahidi designers have been investigating what makes communities strong, resilient and what empowers them to feel like they are an integral and valued part of a whole. Building on a research led hypothesis, that more communicative and integrated communities fair better and recover faster when disasters like hurricanes, floods and terrorist attacks hit, we are building upon this statement from users: “We want to help people in a crisis and be helped back from our own” Now the Ushahidi product design team are finding a way to foster connections between people to help each other in little ways using technology and innovative processes like Machine learning, automatic systems and digital social trust, then we believe that we can create more of these resilient communities world wide. We’ll cover our recent in-depth field study in Nairobi communities and our wider community research worldwide. From Government services, Ambulance and Police to lesser known organisations like urban search and rescue (USR), SARAID, Team Rubicon and The Red Cross and then on to the communities of regular people that are supported b services and organisations and how they participate in the safety and growth of their communities

uk: вхід без авторизації

name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: Open Source design has a plethora of hurdles to leap before it could become fully adopted by the global design community. Exploitative ‘work for free attitudes’, workflows and how design functions/roles connect up through a product life cycle, how our software doesn’t yet allow for robust and collaborative versioning across different designers and how the open source community as a whole, is over represented by those with privilege, access and ability. Ushahidi builds humanitarian tools, remotely for some of the most marginalised people across the globe. To tackle these systemic problems with how to ‘open source’ a design effort and bring the community along with the, ‘on-staff’ Ushahidi designers, we’ve been piloting a series of design jams on our crisis communication tool TenFour with our partners Designit and Adobe. Together, we’re looking to solve the problems with how open source design can work by engaging through meaningful technology that makes a difference in the world. We’re here to take you through that journey.

uk: вхід без авторизації

name: Design for good is opening up.: Our journey into design contribution for Humantitarian OSS


State of deegree 2019

uk: Комп'ютерні науки

description: State of deegree 2019 provides an update on our community and reviews the latest and noteworthy features of [deegree webservices](https://www.deegree.org/). Initiated in 2002 the OSGeo project deegree has developed over the last 17 years to an important building block for Spatial Data Infrastructures (SDI). As the implementation of the INSPIRE Directive is fully underway it requires stable and mature software solutions based on OGC standards such as GML, WFS and WMS. One of the goals of the deegree project is to provide implementation of those standards. In this talk, after a short overview of the current status, we will focus on the recent improvements available in deegree such as GeoJSON support and our roadmap for Java 11 and OpenJDK. Finally, we will explore potential future directions for the project and show what future developments are currently planned such as the support for the OGC WFS 3.0 standard.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: BruGIS® is a cartographic tool developed by a public interest organization (Urban.brussels) and used for the management and planning of the territory in the Brussels Capital Region. BruGIS Data Management is a QGIS client to update spatial data published on the BruGIS platform. Implemented with Open Source technologies (QGIS, GeoServer, Django, Python, etc.) it provides a centralized, uniform and exclusive way to edit spatial data online. After a short overview of the architecture, we’ll focus on the demo of QGIS client using 2 plugins (admin and user). We’ll be able to create a new user and assign him editing rights on a layer. Then edit the layer allowed, modify, validate (topological) and finally submit it. Lastly, we’ll publish the modified and validated layer. The path of the modified table will be followed through the DB environment of BruGIS. The organization of data synchronization through the three environments (production, staging, diffusion) will be briefly addressed. The purpose of this demonstration is not to go into the technical details of the production flow but rather to exemplify the use of Open Source technologies within the framework of the daily management of the urban data in a public administration.

uk: вхід без авторизації

name: BDM: BruGIS Data Management: QGIS plugins to manage and edit data


Spatial Support in MySQL

uk: Комп'ютерні науки

description: MySQL 8.0 was a huge step in terms of spatial support -- a step up from flat Cartesian coordinate systems to ellipsoidal geography. In this talk we'll go on a quick tour of the spatial support in MySQL. We'll cover data types, functions, indexes, coordinate reference systems and other core topics. We'll look at both the big design decisions and practical use. What can MySQL do? How does it work? What are the limitations? Join us for answers to these questions and more!

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Operating in the humanitarian sector of South Sudan comes with an endless number of challenges. High personnel turnover makes it difficult to maintain servers, and VSAT-only connectivity results in dial-up performance for both city and field locations. Despite this, there is a great need to communicate detailed GIS data beyond what can be printed on paper. To fill in this gap, REACH Initiative has been developing platforms that use mobile- & offline-first technologies to address these issues. This talk will focus on a specific platform REACH has been developing to allow less technical users to make their own offline maps with minimal maintenance. This map CMS pulls data from a managed GraphQL service and generates progressive web apps using a static site generator with Mapbox GL templates. Emphasis will be placed on the big picture of how these pieces connect together. This specific example will be framed in a larger discussion of how to best develop complex software for low-bandwidth environments. During over two year's worth of development in the field, it will tell the story of what different approaches were attempted, and why these failed in the humanitarian context from a performance and maintenance perspective.

uk: вхід без авторизації

name: User-Generated Offline Maps With Serverless Frameworks


uk: Комп'ютерні науки

description: In GIS software development there is often a need to seamlessly integrate a simple or more complex GIS solutions into new or existing non-GIS applications. Depending on the non-GIS system, number of different integration technologies are used. From communication standpoint there is a client-side integration based on WebSocket technology, JS API or using more recent technologies like custom elements (e.g. Angular Elements). From complexity and functionality standpoint there is an option to use custom developed lightweight GIS or full featured GIS viewer/editor based on our own IGEO platform. This talk will share our experience and challenges we've ran into during the years of GIS development and integrations with other in-house or external systems.

uk: вхід без авторизації

name: Integration of GIS in non-GIS applications


uk: Комп'ютерні науки

description: Having worked with geospatial technology in the insurance industry since 2003 I had my eyes opened to open source at FOSS4G 2013 in Nottingham. I came away excited and energised by what I had seen and it planted the idea for how we could do things differently. 2 years later I quit my day job as a contract solutions architect and took a big pay cut to create Addresscloud, our aim to tackle the complex geocoding challenges faced by UK/I insurers. 3 years on we have gone from strength to strength and are now a profitable, rapidly growing business with a portfolio of customers from startups to FTSE 100 companies. In this talk I will discuss our journey, challenges along the way and our lessons learned.

uk: вхід без авторизації

name: Addresscloud: how we built a business on FOSS


uk: Комп'ютерні науки

description: FOSS4G in education and research is key to providing students and researcher with tools for analysing spatial data avoiding vendor lock-ins and fostering a healthy freedom to test different solutions. OS tools stimulate proactiveness in students by providing a wide range of possibilities, from usage to development. This talk will show how open source tools for processing imagery and point cloud data give added value to didactics, with examples from projects at University of Padova and from Innsbruck Summer School of Alpine Research - Close Range Sensing Techniques in Alpine Terrain.

uk: вхід без авторизації

name: Open Source for Education and Projects Key Aspect of Choosing FOSS4G


The Open Data Cube Sandbox

uk: Комп'ютерні науки

description: FrontierSI have been working with the Open Data Cube Community to develop simpler ways of running the ODC, and one of these is the ‘Sandbox’ project, where we have built a pre-configured ODC instance as a reference deployment. The Sandbox aims to provide developers, data scientists, decision makers and everyone else a way to learn about remote sensing, the ODC generally, or about the various applications that earth observation data can be used in. The use of Docker, Kubernetes, the ODC and Dask enables for a scalable environment that can run non-trivial workloads. The ODC Sandbox is as easy to use as visiting a website, it's powered by vast quantities of open data, it’s available now and the architecture is open, so you can build one yourself too. This presentation will briefly introduce the ODC project and will then discuss the Sandbox, how it is structured and what is required to get started. The presentation concludes with demonstrations of a number of use cases and applications of the ODC that are available in the Sandbox in addition to future plans.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: The climate change and the recent extreme events occurred all over the world draw again the attention to the natural hazards both for prevention and for management aspects. In this context, environmental modelling can help in mapping hazards and risks zones and to support decision makers in building functional infrastructures with low environment impact and for a safe urban planning. In the last decades many researchers tried to extract useful information from digital data and in particular from Digital Terrain Models (DTM) with the development of ad-hoc algorithms and tools. In the meanwhile the data availability increased and high precision DTM are available almost all over the world. The algorithms contained in the HortonMachine library are the result of more than 10 years of research, development and real application of people from different research institutes and professionals working in the field of environmental engineering. The HortonMachine library contains tools for data management, data collection in the field, and environmental modelling in particular related to hillslope stability, floods, debris flow, forestry management and woody floods.

uk: вхід без авторизації

name: FOSS tools form modelling natural hazards: the HortonMachine library


uk: Комп'ютерні науки

description: Geopaparazzi is an application for field surveys and digital field mapping for Android devices. Its simplicity and the possibility to use on as good as any Android device makes it a trusty field companion for engineers and geologists, but also for tourists who wish to keep a geodiary and any user that needs to be aware of his position even in offline mode. In Geopaparazzi it is possible to take notes with text, pictures and sketches and place them on the map. Notes can also be complex and form based in order to standardize surveys in which many people need to be coordinated. Recently we started the development of the Geopaparazzi Survey Server (GSS), a web application that allows geopaparazzi users to synchronize their projects data with a central server, together with its companion, an Android app named Geopaparazzi Survey Server Sync (GSSS) available on google play to synchronize the data of the Geopaparazzi projects to the server. The presentation will show the main features of Geopaparazzi, the tools available in gvSIG, the Geopaparazzi Survey Server, the Geopaparazzi Survey Server Sync and some examples of customization of the application for different use cases.

uk: вхід без авторизації

name: Geopaparazzi: state of the art of the digital field mapping application


uk: Комп'ютерні науки

description: The large number of sponsors, many of them very large companies, found at FOSS4G events indicates that there are significant commercial interests and opportunities associated with free and open source software (FOSS) technologies. This talk will describe several recurring patterns and business models for “monetizing” open source technologies, while also - and crucially - contributing back to FOSS communities. The talk will elaborate on the following three main models: 1. Providing value added services and support to open source projects 2. Leveraging/incorporating open source technologies to deliver products/SaaS 3. Open sourcing your commercial technology The talk will also provide real world examples of each of these models from the perspective of a commercial business that is actively engaged in a variety of FOSS activities. The talk will also examine some new and emerging trends including open data being incorporated into commercial platforms.

uk: вхід без авторизації

name: Open Source Business Models: making money & playing by the “rules”


uk: Комп'ютерні науки

description: The present talk has the objective of describing the best practices for Metadata catalog setups, developed for the National Spatial Infrastructure of Argentina. Bringing together the notions needed to implement the 19115 ISO Standard, thinking about the processes of the geographic information in each organization but also how to do it using free and open source software.

uk: вхід без авторизації

name: Metadata catalog Cookbook for Argentina's SDI


The FOSS4G path in Argentina

uk: Комп'ютерні науки

description: We would like to present how our small community of Geoinquiet@s Argentina works. Since 2012 we have been working hard in order to evangelize about free and open source software. Drawing inspiration, and a name, from the Geoinquietos Spain micro chapter a few people started gathering (beer in between) to spread the word about free tools for geomatics. Since then, we have been able to do four conferences, some together with the OpenStreetMap (OSM) community. Recently we became an official OSGEO local chapter (the first constituted in Latin America). In order to keep growing, we have set up an nonprofit organization (Geolibres), to serve as a legal support not only for Geoinquiet@s, but also for OSM Argentina or GeochicasOSM. We propose the bid of Buenos Aires as the location for the 2021 main FOSS4G event, because we believe it would be a great opportunity for the entire region, creating new chances for exchange between key actors in the world of free and open geomatics. Our commitment is for more conferences, workshops and other projects that infect the spirit of free and open source software in more people, communities, companies, organizations and universities every time.

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keywords: General ECMWF European Centre Medium-Range Weather Forecasts

uk: Комп'ютерні науки

description: The European Flood Awareness Ssytem (EFAS) operates on a pan-European scale to provide coherent medium range flood forecasts and related informations and which serves as an independent reference information set for most of the hydrological services responsible for flood forecasting in Europe. EFAS was developed from the Joint Reaserch Centre (JRC) and the European Centre for medium range weather forecsts (ECMWF). EFAS provides information to the national hydrological services when there is a danger that critical flood levels might be excedeed. EFAS displays the results of the flood forecasts through a web application that grants end-users the ability to contribute and share information. A part of information provided by EFAS is restricted to the EFAS users (real time forecasts), non real time forecasts are freely accessible for all the users. Though the EFAS interface flood warnings emails are send the the EFAS partners in order to inform them of a possible upcoming event. There are strict criteria on the activation and deactivation of these warnings. Alongside the alerts a daily overview is sent to the Emergency Response Coordination Centre (ERCC) of the European Commission which contains information on ongoing floods in Europe

uk: вхід без авторизації

name: The European Flood Awareness System (EFAS)


uk: Комп'ютерні науки

description: With an aim of developing and delivering open source geospatial solutions to the UN, the UN Open GIS Initiative was established in March 2016, taking full advantage of mission partner expertise from UN member states, technology contributing countries, international organizations, academia, NGO’s and private sector. In order to fulfil the diverse requirements of UN field operations, the scope of the UN Open GIS Initiative covers the geospatial software of the UN Spatial Data I nfrastructure. The activities are organized into four working groups, referred to as ‘spirals’; Spiral one for geo-portal and system infrastructure, Spiral two for capacity building, Spiral three for geo-analytic functions, and Spiral four for geospatial data collection. This talk will cover an overall introduction of the UN Open GIS initiative including the vision, strategies, technical roadmaps, and achievements of each working group. The experiences and lessons learned from the initiative will be shared during the talk, which we hope will be helpful to the UN as well as developing countries. We will also discuss how to leverage the FOSS4G community and the UN Open GIS Initiative.

uk: вхід без авторизації

name: The UN Open GIS initiative's Spiral 4 for geospatial data collection


uk: Комп'ютерні науки

description: This talk will present an overview of the SpatioTemporal Asset Catalog (STAC) specification, and provide a use-case and example of an API to query STAC items (by space and time), resulting in imagery and associated metadata, even within your favourite chat application.

uk: вхід без авторизації

name: Stac-chat: spatiotemporal assets in your chat


uk: Комп'ютерні науки

description: With the increase of sensor capabilities and popularity of unmanned aircraft systems (UAS) there has been an increase in the detail and types of digital elevation models (DEMs) that can be produced. With these improved products and their 3D characteristics, more can be derived from their analysis including the detection and location of important changes over time. The analysis between two temporally different DEMs, digital terrain models (DTMs) or digital simulations models (DSMs) can indicate important factors such as erosion, structural damage, or deforestation. The talk will discuss a project that focuses on the suitability of creating a plugin for QGIS to automate the process of performing 3D change detection with these data types. It is expected that the need for an intuitive and automated process for this type of analysis will only increase with the feasibility of DEM generation and collection with new software and UAS popularity.

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name: Three-D Change Detection: A QGIS Plugin with Python 3


VectorTile for SeaWind

uk: Комп'ютерні науки

description: Introduce process that the world sea surface wind data(ASCAT, WindSAT, SCATSAT) of 12.5km or 25km resolution was displayed mapbox vector tile specification. The process overview is described as being merged into 12 hours, transformed to a geostationary coordinate system, converted to a mapbox vector tile format using the opensource library, and displayed in OpenLayers.

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Using FOSS4G in HPC environment

uk: Комп'ютерні науки

description: In Finland, the government has decided to provide free of charge HPC resources for all universities and state research institutes for open research. For long time, these HPC resources were used mainly for chemistry, (micro)-biology, physics and material sciences. In recent years, we have installed a lot of GIS software and added open licensed GIS data to the HPC environment. We have installed to a Taito supercomputer: FORCE, GDAL, GRASS GIS, PDAL, QGIS, SAGA GIS, SNAP, Taudem, Zonation, and Python and R with tens of spatial packages. The amount of data is currently about 10 Tb, including almost 300 different datsets mainly from Finnish governmental organizations. Besides supercluster, we also provide OpenStack-based cloud environment cPouta and OpenShift-based container cloud environment Rahti, for users who want to set up their web service or database. An important use case for these services has also been setting up training environment for university courses. The amount of users has increased with fast speed, being around 200 at the moment.

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State of GeoServer 2019

uk: Комп'ютерні науки

description: State of GeoServer provides an update on our community and reviews the new and noteworthy features for 2019. GeoServer is a web service for publishing your geospatial data. using industry standards for vector, raster and mapping. We have an active community and a lot to cover for 2.14 and 2.15 release, as well what is cooking in September’s 2.16 release. Each release provides exciting new features, this talk covers diverse improvements across GeoServer: * Support for Java 11 deployments * And update on the ongoing work on WFS 3.0 and next generation of WMTS * Extensions to WPS for better controlling status and progress of processes * JAI-EXT enabled by default, and what that means for your raster map publishing * Map algebra support * Data store functionality improvements, including news for MongoDB and PostGIS * Styling subsystem improvements * And much more… Attend this talk for a cheerful update on what is happening with this popular OSGeo project. Whether you are an expert user, a developer, or simply curious what GeoServer can do for you.

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GeoServer feature frenzy

uk: Комп'ютерні науки

description: What can you do with this GeoServer thing? This talk covers some of the basic (and not so basic) ways to use GeoServer to publish your geospatial data and make it look great! GeoServer made its first release in 2001 and has grown into an amazing, capable and diverse program. This also means the “feature list” is spread over years of release announcements, presentations, mailing list archives! This presentations provides a whirlwind tour of GeoServer and everything it can do today! This talk is a visual guide to the features of GeoServer. Are you just getting started with GeoServer, or considering it for the first time? Attend this talk and prioritize what you want to look into first. Are you an expert user who has been running GeoServer since version 1.0? Attend this talk and see what tricks an optimizations you have been missing out on!

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Mapping beyond Web Mercator

uk: Комп'ютерні науки

description: Most popular mapping presentations today, ranging from clients to servers, show and discuss only maps in web mercator, 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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Running QGIS Server in production

uk: Комп'ютерні науки

description: QGIS Server has become a serious competitor in the realm of map engines for the web. Maps served by QGIS Server are designed in QGIS Desktop, and rendered by QGIS Server with the same rendering engine as QGIS Desktop. This makes it possible to leverage QGIS advanced styling capabilities, which, in itself, is a major advantage over its competitors. The QGIS community is serious at making QGIS Server production-grade. QGIS Server is now certified by the OGC, and CI processes have been set up for continuously assessing its OGC compliancy and performance. In production context an important aspect is the way QGIS Server is executed. There are many ways to execute QGIS Server. QGIS Server may be controlled by the Apache HTTP Server, or it may be run as an independent process in front of the NGINX HTTP Server. Some people use Docker, while others rely on more traditional systems. The way QGIS Server is executed and configured can have a major impact on the performance and robustness. After a quick introduction to QGIS Server this talk dives into the various ways of executing QGIS Server in production, discussing the pros and cons of each method. The talk is targetted to any person considering running QGIS Server in production.

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uk: Комп'ютерні науки

description: Can you calculate the CO2 emissions for your city now or for the future? Ubigu Ltd, Tietotakomo, Gispo Ltd, Finnish Environment Institute and City of Tampere in Finland have crafted an open source climate tool during spring 2019. It was created using QGIS, PostGIS, GeoServer and Oskari map service for detecting what areas have more CO2 emissions than others taking into account also carbon sinks. The climate tool is used to do better land use planning to achieve CO2 neutral city. The base of the calculation comes from 250*250 m urban zone grid by Finnish Environment Institute where we have information about workplaces, demography and buildings. The tool utilizes also different climate parameters and combines the information to the grids. The user interface was created with QGIS and where analysis was driven with algorithms stored to PostGIS database. The tool also provides CO2 visualisation of the analysis results via GeoServer and in the end Oskari map service. In this presentation we will go through the background and demonstrate the use of the tool.

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name: Calculating CO2 emissions: for Urban Land Use Planning with FOSS4G tools


uk: Комп'ютерні науки

description: In the Sahel, the survival of pastoral and transhumant communities depends directly on the access to water and pasture for their livestock. The availability of these resources is mostly influenced by the erratic rainfall conditions that characterize the Sahelian climate. To reduce the vulnerability to critical events, pastoral communities need access to reliable information on pasture, water, climate, animals’ concentration and disease outbreaks. As they live and move in areas with poor to no internet connection, Action Against Hunger (ACF) developed a system where data is collected from herders using a Telerivet SMS gateway and stored in a cloud environment. An automated script then geocodes the responses and creates a shapefile for each survey, ready to be plugged into QGIS for analysis. Currently 109 focal point nomadic herdsmen are spread over 4 Sahelian countries (Mali, Burkina Faso, Senegal and Niger) to collect and inform more than 18 core indicators on the pastoral situation. Cartographic data is then published on a public and open source web platform and transmitted to herders through radio broadcasts.

uk: вхід без авторизації

name: Real time mapping with SMS where there is no internet


CNN-based tools in GRASS GIS

uk: Комп'ютерні науки

description: Object detection and image segmentation have always been a big task in the field of geospatial sciences. With the growth of open satellite and aerial images, focus on this field is getting bigger and bigger. In the general computer vision field, there is one big term shaking the field in the last years - artificial neural networks. Artificial neural networks and especially their subtype called convolutional neural networks brought into the field of computer vision precisions which were just a few years ago still considered as not imaginable. We had decided to connect those two fields and test the use of artificial neural networks on satellite and aerial images. A suite of modules using convolutional neural networks was implemented into GRASS GIS.

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name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: This talk introduces the integration and possibilities of Python within and around QGIS in its latest version. Being an introductory talk it is not aimed at developers but much more at [future] QGIS users that would like to know what possibility exists for customizing your workflows thanks to PyQGIS. The presentation will brush the following topics: * Integration of Python in the latest version of QGIS * what can be done with Python in QGIS - chances and limits * Python console and scripts in QGIS * Plugins with Python * Macros with Python * Python in forms * Custom python expressions * Geoprocessing with Python within QGIS

uk: вхід без авторизації

name: Custom workflows in QGIS thanks to Python - a non technical introduction


uk: Комп'ютерні науки

description: With PyQGIS you can write scripts and plugins to implement new features and perform automated tasks within QGIS, let's see how we can do that more efficiently thanks to some nifty tricks. Thanks to tricks like using decorators and the qgis.utils module one can improve readability and performance by simplifying a lot of code

uk: вхід без авторизації

name: PyQGIS the comfortable way - tricks to efficiently work with Python and QGIS


uk: Комп'ютерні науки

description: QGIS 2.18 has been discontinued - the king is dead. QGIS 3.4 is the new long term release - long live the king! QGIS 3.10 is being developed - The princess is growing In this talk, I'll try to highlight the very best features available in the QGIS 3.x series like: - User profiles - Multiple map views - Native 3D viewer with support for vector features and mesh data - Mesh data support - Autocompleting search - Unified Data Source Manager - GeoPackage as the default format - Select features by value tool - Lots of new processing tools - Project DB/Auxillary storage and easy custom labelling - Editing in place - New renderers - Lots of improvements to Print composer - Valid CRS Extents Preview

uk: вхід без авторизації

name: QGIS is dead, long live QGIS! - the very best new features of QGIS 3.x


uk: Комп'ютерні науки

description: This talk will provide an analysis of U.S. caselaw regarding self-replicating technologies, such as open source code, and patent exhaustion rights. It will discuss what it currently means to "sell" a "product" sufficiently to invoke patent exhaustion, and how that corresponds to the normal ways in which organizations typically interact with FOSS.

uk: вхід без авторизації

name: Self-replicating Technologies: Open Source & Patents


uk: Комп'ютерні науки

description: I'll talk about the recent achievements and improvements of mago3D project, an open source based 'Digital Twin' platform. mago3D(http://mago3d.com) is relatively new project first released in July 2017. The ultimate goal of mago3D project is developing an open source based digital twin platform that can replicate and simulate the real world objects, processes, and phenomena on web environment. mago3D is on its way to achieve this goal now. mago3D has been used in various industry sectors including ship building, urban management, indoor data management, and national defense. In this talk I'll showcase several real projects that employed the mago3D and will talk about what I've learnt during this projects.

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name: Current Status of mago3D, an Open Source Based Digital Twin Platform


uk: Комп'ютерні науки

description: MapStore is the Open Source product for creating, saving and sharing in a simple and intuitive way maps and mashups created selecting contents from public services like Google Maps and OpenStreetMap or other servers implementing OGC and ISO protocols. Thanks to MapStore the user can mix her own data with data available on the web to create comprehensive maps and share them with anyone (also via social networks). MapStore2 is cross-browser, and mobile ready. MapStore allows the user to: * Manage maps (share, delete, search, create) and users through a front-end Manager. * Create and navigate maps using a powerful and intuitive front end as map Viewer. * Manage the embed-link, marker's injection, routes injection, time series Google Earth like, spatial queries and more. * Interact with one or more Catalog Service for the Web (CSW). You can also use MapStore as a framework to develop your custom WebGis application composing MapStore ReactJS components and components from other libraries (like React Bootstrap), choosing the best mapping library for your purposes. The presentation will give the audience an extensive overview of the MapStore functionalities for the creation of mapping portals.

uk: вхід без авторизації

name: MapStore: Modern mashups with OL, Leaflet and React


uk: Комп'ютерні науки

description: Deep learning algorithms appear as a major breakthrough in GIS scope: neural networks are able to do semantic segmentation on aerial images, so as to identify building footprints, roads, and so on. Oslandia is an opensource company studying and exploiting geospatial data, with an extensive R&D activity about geospatial data science. This presentation will detail some of our Python routines in terms of geospatial data handling. We will describe our processes from raw data to prediction results. As the main step of the pipeline, machine learning techniques (e.g. convolutional neural networks for image semantic segmentation with Keras) produce valuable predictions. In the case of geospatial data, a postprocessing step is often necessary for displaying the results in web applications and GIS tools. A concrete illustration of our results will be provided through a light Flask application designed for demonstration purpose.

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name: Geospatial data processing for image automatic analysis


uk: Комп'ютерні науки

description: OpenMapTiles is an open-source set of tools for processing OpenStreetMap data into zoomable and web-compatible vector tiles, which are ready to use in OpenLayers, Mapbox GL, Leaflet, QGIS as well as mobile applications. This talk gives an overview of the major changes in the project. Apart from providing a base map of the whole world, the same principles of OpenMapTiles can also be used to create various thematic layers. We'll also talk about and demonstrate a possibility to build on top of the OpenMapTiles tools to produce the vector tiles in different coordinate systems while keeping all the features, such as interactivity to create powerful region-specific applications.

uk: вхід без авторизації

name: OpenMapTiles: news, thematic layers, coordinate systems


uk: Комп'ютерні науки

description: SHOGun is an Open Source WebGIS framework, that is widely used in private companies, public administrations and also research projects. SHOGun combines user-, data- and application management through a webfrontend, like many others do. Learning new workflows and familiarizing yourself with new application environments is a big challenge for many users. Therefore, possibilities should be created to make the changeover easier for users and to link new technologies with existing ones. In order to bring desktop GIS and webbased GIS systems cloer together, we developped the QGIS plug-in "SHOGun Editor". The talk will show how SHOGun-based WebGIS applications and GeoServer served layers can be administered in QGIS with regard to adding and styling layers and applications. The plugin uses both, the SHOGun and the GeoServer REST API. Using the SHOGun editor, the most central entities layers and applications can be administered almost completely. This includes the creation of new projects/applications as well as the addition and styling of layers. SHOGun-Editor provides the extensive editing options of QGIS also for web applications with a modern, stable and secured backend and helps to setup a pure Open Source based Geodata-I

uk: вхід без авторизації

name: SHOGun, GeoServer & QGIS Integration: Manage WebGIS Applications from your Desktop


Mapillary Mobile Apps & SDKs

uk: Комп'ютерні науки

description: Mapillary SDKs enable any developer to easily build apps with functionality for geotagged image capture, Mapillary authentication, and uploading to Mapillary. In this session, we will explore the SDKs, demo some Mapillary apps that are built on the SDKs, and look at how these apps are being used to solve real-world challenges.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: A global 3D map works with data from various sources: DEMs, orthomosaics, vectors or even 3D city models. The data is acquired by diverse sensors and processing techniques and varies vastly in resolution and geospatial coverage. Need for partial updates may arise as more recent or higher resolution data becomes available. Integrating all this data into a single, meaningful cartographic or VR product gives rise to the data fusion problem on an ever growing scale. VTS geospatial software stack provides a simple yet powerful way to tackle common 3D data fusion scenarios. In this talk, we will provide a hands-on demonstration.

uk: вхід без авторизації

name: From Planetary Scale to Street Level Detail: Instant 3D Map Data Fusion with VTS


uk: Комп'ютерні науки

description: Korean government has launched the 'Public Safety Map' to provide safety information, with a web map service since 2013. It collects 160 pieces of information from 29 agencies, and compiles Public Safety Information maps in eight categories. In 2018, we analyzed performance and usage patterns to evaluate the use of the system. This analysis revealed that users were having difficulty in accessing the thematic map rather than the information itself. Users unfamiliar with the service had to click on the menu tree structure in order to find the desired topic, which resulted in a decrease in service utilization. It also became clear that it was difficult for users to find their desired thematic map, because there were over 214 service menus. In order to enhance accessibility through an improved user interface, we applied a new technology: a chatbot. Now users can find the desired thematic map and move to the area of interest through dialogue with the chatbot. As a result, where some thematic maps had previously taken up to eight levels (clicks) to display the thematic map, this was reduced to two levels by using the chatbot service. We plan to improve the chatbot service and continuously increase its utilization through user surveys .

uk: вхід без авторизації

name: Improvements of the Public Safety Map service Using a Chatbot


GeoStyler - Generic Styler for geodata

uk: Комп'ютерні науки

description: GeoStyler is a react-based Open Source UI library for creating style editors for WebGIS applications. Cartographic styling of geodata on the web has been a recurring topic in the geoinformatics world. There are various standards - official standards as well as industry standards and project-related styling rules. However, we think that an interactive web-based software is the best solution to enable users to easily style their geodata. There are isolated solutions for some of the above mentioned standards, but no comprehensive web interface for converting styling rules into various formatshas been lacking so far. This universal web interface has been in development since mid-2018. Under the project name "GeoStyler", a web-based Open Source tool for the interactive creation of cartographic style regulations for geodata is being developed. Currently the following formats can be used: Style regulations are OGC SLD, OpenLayers Styles, QML * and Mapbox Style * (* in development). Supported geodata formats are GeoJSON, OGC WFS and Shapefiles. We want to present the current project status and show the general functionality of GeoStyler. We hope to attract the project to users and developers and to contribute to the Community.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: A lot of public organisms, from governments to global funds are investing into more and better reproductive health care services in low income countries. This means measuring availability, quality but also accessibility of key services for the target populations. In particular, taking into account the population distribution and the travel time health systems users need to reach the nearest health center is key to identify challenges to access these services. We'll show how we got from a single question "How many women between 15 and 35 years old live more than one hour from maternal care" to getting and answer by combining availability, quality and geographical accessibility. We now further this work by building a routine computation platform to offer the most updated data to decision makers at any time. We'll share how the modeling and computing strategy evolves in low-availability and low-quality data environments.

uk: вхід без авторизації

name: Has she access? Mapping accessibility of Sexual and Reproductive Health care


uk: Комп'ютерні науки

description: Natural Language Processing, in short, NLP is one of the most high-lightened technologies these days. What I would like to bring on FOSS4G 2019 is an experimental approach which integrates NLP with mapping system. Just for convenience, I call this approach “document-mapping”. In this approach, documents are plotted according to their similarities: in other words, similar documents are plotted within close proximity, and vice versa. This approach can be done by several NLP based algorithms. As a result of the processing, XY coordinates are attached with each document. This approach will show us lots of possibilities, converting qualitative data-sets into quantitative ones. For example, we can evaluate the impact on a specific article or an opinion not only by numeric data but also visualized map with the similarity-distance. I attached an example using twitter data-sets. Another possibility I would like to introduce is its application for regional masterplans. I am currently trying to analyze a transition of cities and achievements of the city plans by using this idea. This attempt is still on a progress, and hopefully I would like to present this result in August.

uk: вхід без авторизації

name: Natural Language Processing meets FOSS4G: Introduction of Document Mapping


Are we going back to Command Line GIS ?

uk: Комп'ютерні науки

description: In the early ages of Computer Science, there was only Command Line Interface (CLI). No mouse, no windows. But computers was already able to do more than just calculus. First of this kind -- in the early eighties ! -- GRASS GIS was able to manipulate, analyze and visualize geospatial data. All in CLI. But it was frightening for most users. CLI is terrifying. Then graphical interfaces arrived with windows and mouses. Computers started to be cheaper and more affordable. Almost everyone now can own and use a computer. With a graphical interface. Less scary, more accessible. And GIS followed the trend. ESRI created ArcMap, QGIS was born. Even GRASS GIS got a Graphical User Interface at some point. But isn't CLI making a come back ? Quietly ? Even in our small geospatial heaven ? Let's have a look at behind the curtain and see what CLI can offer nowadays with the Python and R datascience stacks. Let's look at CLI GIS, right in the eye ! By the end of the talk audience members will : * not be afraid of CLI anymore (let's hope) * might want to learn a scripting language and explore console mode * want to combine best of both worlds

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