uk: Комп'ютерні науки

description: NextGIS has been busy working on a new stack of geospatial software for the past few years and we're finally ready to present what we've accomplished. Our stack consists of 4 major components: web (NextGIS Web), mobile (NextGIS Mobile), desktop (NextGIS QGIS) and data management (NextGIS Manager). Three of those components are brand new, developed by NextGIS alone and were released just recently. For the fourth component, we participate in QGIS development since 2008 and use its codebase for our desktop component. The main focus of the stack is tight integration, ease of use and modularity. New stack features unique features, to name just the few: plugable renderers for NextGIS Web, multi-layer support for NextGIS Mobile, super-fast rendering and great formats support for NextGIS Manager and all-around integration with NextGIS QGIS. The presentation will provide an overview and will look at general architecture, use cases and plans for future development.

uk: вхід без авторизації

name: Dynamic dashboards with D3.js and CartoDB


Maxim Dubinin

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

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: New opensource geospatial software stack from NextGIS

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

uk: вхід без авторизації

name: Who's On First - because sometimes geo is not spatial


uk: Комп'ютерні науки

description: ngeo is an open-source JavaScript library that aims to ease the development of web GIS applications based on AngularJS and OpenLayers 3. More specifically, ngeo provides Angular components, namely "services" and "directives", that can be combined together in different ways, based on the need of the application. This talk is a general presentation of ngeo. We will present some of the features provided by the library, through concrete examples. We will also present the design choices we have made, and why we have made this design choices. AngularJS, as a very popular framework, has received (severe) criticism lately. We will report on our experience with AngularJS, discuss its "good parts", and how we mitigate its "bad parts". With ngeo we define ? what we think ? is a good way to use AngularJS. ngeo, for example, includes guidelines for application developers, which have turned out to be key for the development of robust and high-performance applications. This talk is for anyone interested in AngularJS and OpenLayers 3. Come to this talk if you're interested to know how we use ngeo to develop applications combining AngularJS and OpenLayers 3.

uk: вхід без авторизації

name: ngeo: a companion library for OpenLayers 3


uk: Комп'ютерні науки

description: Much of the world currently does not have secure property and land tenure rights. Communities and individuals need low-cost tools to enable them to advocate for themselves. The Cadasta Foundation is building an open-source platform to securely enable these groups to document their land rights. This talk will review the design decisions taken into account, the technology underlying Cadasta, and the future road map. Individuals interested in land rights management and/or the challenges in implementing technology in difficult environments will be especially interested in this presentation.

uk: вхід без авторизації

name: Cadasta: Securing Property Rights with Open-Source


OL3-Cesium: 3D for OpenLayers maps

uk: Комп'ютерні науки

description: OL3-Cesium is a new Open Source JavaScript library for adding a Cesium 3D globe to applications based on OpenLayers 3. Concretely, OL3-Cesium creates and automatically synchronizes the 3D globe by reading the raster and vector layers from the 2D map. Additionally, the view parameters (center, resolution, rotation) are bidirectionally synchronized allowing shared 2D/3D interactions. This talk is a general presentation of OL3-Cesium. We will present practical cases of map enhancement with 3D, show code and explain what happens under the hood. We will discuss current status and work in progress. Our main interests will be: - easy kick-start of a side-by-side or stacked views application; - handling of different raster and vector projections; - positioning vectors on terrain or at absolute 3D coordinates; - editing and picking Points Of Interest in a unified 2D/3D manner; - streaming and displaying vector data; - streaming and displaying buildings. OL3-Cesium was started by three companies from the OpenLayers community; we will discuss the benefits of the community, notably in terms of simplicity, speed of development, ease of maintenance, and sharing of complex code. This talk is for anyone interested in adding 3D to OpenLayers 3. Come to this talk to discover new ways of displaying and interacting with your map.

uk: вхід без авторизації


3D OpenSource software Stack

uk: Комп'ютерні науки

description: This presentations showcases the latest advances on building a full 3D Open Source GIS software stack.Some important cities have recently released their 3D models of textured buildings as Open Data : Bordeaux and Lyon in France, Geelong in Australia or Berlin in Germany among others. Meanwhile, new hardware and sensors for 3D data capture and interaction. We want to be able to store, analyze and visualize both 2D and 3D data with same Open Source tools.Among the processing we want to use 3D intersection, 3D Union, triangulation and a lot of other spatial analysis functions we already use in 2D. Other types of 3D data also need to be stored and processed like 3D Point clouds from Lidar data, or DEMs.With 3D data, an absolute must-have is a nice, fast and smooth rendering of features, and their associated textures. Visualization is a key element of a complete vertical software stack of 3D data management.This presentation will demonstrate the ability to setup and take advantage of a full FOSS4G 3D stack. This stack features various components, just like a 2D GIS stack.PostgreSQL and PostGIS now feature 3D data storage and processing GIS servers can now stream the data with Web Services Desktop applications allows 3D visualization ( QGIS and Horao plugin) WebGL application let the user configure a native browser 3D visualization These components improve over time, allowing more capabilities, be it for the analysis part in the database, or the visualisation part in the browser.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: An introduction and demonstration of the capabilities of the GNOSIS SDK ( http://ecere.ca/gnosis ), high performance 3D geospatial visualization software built atop our open-source Ecere Software Development Kit ( http://ecere.org ). The GNOSIS SDK offers a cross-platform object-oriented API for visualizing geospatial raster imagery, vector data and elevation models in both 3D and cartographic projections. It also features GNOSIS Cartographer, a GIS software allowing to import, visualize, edit, tile, optimize, style and analyze geospatial data. Vector shapefiles, GeoTIFF imagery and ASCII Grid heightmaps are readily supported, while a plug-in system allows to extend support and functionality through additional programming. Through tiling and resampling all supported types of data (raster, vector and elevation) at multiple scales, GNOSIS can handle large planetary scale data sets (up to 1 mm resolution) with consistent performance. Elevation data models, including high resolution point clouds, can drive the terrain rendering system which performs dynamic mesh optimization based on elevation variation. All types of map data can also be draped on top of the terrain, and styles can be modified in real-time. Styling can be applied with cascading style sheets based on the values of associated data records. GNOSIS also supports geo-referencing and rendering 3D models. GNOSIS also provides a map client / server architecture through its own highly efficient protocol, while it will also support serving and accessing data through widely used protocols such as WFS and WMS. Although the GNOSIS SDK itself is currently not open-source, we hope to be in a position to release it under an open-source license in the future and possibly apply for it to become an OSGeo software project.

uk: вхід без авторизації

name: Presentation of GNOSIS SDK: High performance 3D visualization SDK and GIS software


Geopaparazzi, state of the art

uk: Комп'ютерні науки

description: Geopaparazzi is an application for fast field surveys. Its simplicity and the possibility to use it on as good as any android smartphone 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 create text, picture and sketch notes 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. In the last years the support for the visualization of spatialite vector layers and recently also editing possibilities for spatialite poligonal datasets has been added, allowing for some simple-yet-powerfull possibilities on vector data. Desktop tools are supplied to bring datasets from the GIS environment to Geopaparazzi and back. The presentation will focus on the most important features of Geopaparazzi as well as the latest additions to the application in order to give a complete idea of the state of the art of the project.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Government is a great sector in which to use geospatial technology to solve problems at scale. This geospatial technology typically has varying degrees of quality and cost as you would expect in any market. Combine the two with the fact that the ecosystem of systems, large and small, is very diverse, creating varying challenges. With this in mind, governments are now realizing how their decisions impact their future capabilities. In this talk, we will discuss GeoPackage, an OGC encoding standard and the challenges it was created to solve. We were encountering a problem with how data was being created, disseminated, and used. With the rise of mobile computing devices raster images in various native formats were being disseminated to a wider audience to use and visualize information. These raster images were typically enormous and uncompressed in some cases and compressed but painfully slow in other cases. Computing resource availability varied across computing environments. Some end users were converting these large raster images to more friendly or optimized formats to do their daily jobs. This leads to massive data reprocessing efforts across many different areas, all of which are mostly avoidable if the source would simply produce relevant, fast-performing data in a format that satisfies the broadest audience. Many vendors have tried to solve this problem with their own custom or proprietary solutions. Full stack vendor solutions come with hefty price tags in the form of licenses, support contracts, or sometimes both. These solutions can and often do solve the immediate problem however they have side effects that reach far beyond the immediate. Vendor-specific technology islands therefore appear, beholden to a certain proprietary implementation simply because it would be too expensive or too involved to do otherwise. Proprietary data created for one system did not necessarily work in another system. Tools needed to be created, re-created, or modified to handle formats that did not work on their target platform. Data interoperability between geospatial groups is the first casualty. Glue code is then created to bridge the gap between the offending incompatible data and the desired data format of the new end-user. Government entities are quickly realizing that this makes no sense. Extra processing causes bottlenecks in downstream workflows and can quickly cause untenable requirements in areas like disaster recovery. Incompatibility in data makes it even harder to share crucial information between government organizations and non-government organizations alike. It is with these types of open standards that governments can maintain the control of their data creation and management. GeoPackage was created to free data from the constrictions of proprietary formats and is already paying dividends to government groups. Current GeoPackage development tools will be discussed as well as how early adopters are leveraging this new data specification and subsequent tools to push geospatial products to the end user.

uk: вхід без авторизації

name: GeoPackage and how open source is changing the way governments think about standards


uk: Комп'ютерні науки

description: Since its start in 2006, Amazon Web Services has grown to over 40 different services. Amazon Simple Storage Service (S3), our object store, and one of our first services, is now home to trillions of objects and core to many enterprise applications. S3 is used to store many kinds of data, including geo, genomic, and video data and facilitates parallel access to big data. Netflix considers S3 the source of truth for all its data warehousing.The goal of this presentation is to illustrate best practice for open or shared geo-data in the cloud. To do so, it showcases a simple map tiling architecture, running on top of data stored in S3 and uses CloudFront (CDN), Elastic Beanstalk (Application Management), and EC2 (Compute) in combination with FOSS4G tools. The demo uses the USDA��s NAIP dataset (48TB), plus other higher resolution city data, to show how you can build global mapping services without pre-rendering tiles. Because the GeoTIFFs are stored in a requester-pays S3 bucket, anyone with an AWS account has immediate access to the source GeoTIFFs at the infrastructure level, allowing for parallel access by other systems and if necessary, bulk export. However, I will show that the cloud, because it supports both highly available and flexible compute, makes it unnecessary to move data, pointing to a new paradigm, made possible by cloud computing, where one set of GeoTIFFs can act as an authoritative source for any number of users.

uk: вхід без авторизації

name: Don't Copy Data! Instead, Share it at Web-Scale


DigitalGlobe and Open Source

uk: Комп'ютерні науки

description: Adding some important and pertinent information to this abstract with respect to the recent tragic events in Nepal. DigitalGlobe, in responding to the devastating earthquake in Nepal, has openly licensed both pre-event and post-event imagery, as well as openly licensed the results of our Tomnod campaign, which has crowdsourced information from nearly 50,000 volunteer contributors to assess damage and displaced people in Nepal. DigitalGlobe is working with first responders, aid relief and NGOs including Kathmandu Living Labs, Humanitarian OpenStreetMap Team, the UN, IFRC and American Red Cross. We are providing important information to disperse relief to the growing number of displaced people. The work we have done has been featured by CNN, CCTV, Mashable, the Atlantic and many more. Please reference links below. This is a poignant example of how Geospatial data, provided in the open can benefit millions of people who need help. http://www.cnn.com/videos/business/2015/05/01/wbt-intv-lake-bullock-nepal-digitalglobe.cnn http://www.theatlantic.com/technology/archive/2015/05/the-mapmakers-helping-nepal/392228/ http://www.citylab.com/tech/2015/04/how-amateur-mappers-are-helping-recovery-efforts-in-nepal/391703/ http://mashable.com/2015/05/06/landslide-nepal-photos-before-after/#:eyJzIjoidCIsImkiOiJfdTVjdzgyb2M5aGRnMnZ1bCJ9 Original abstract: DigitalGlobe operates a constellation of high resolution, high accuracy satellites. Imagery from DigitalGlobe can be seen in Mapbox Satellite, CartoDB, Google Maps, HERE Maps, Bing Maps, Apple Maps and is often used for the purposes of contributing, editing and validating for OpenStreetMap. Over the years, DigitalGlobe has provided both imagery and software processing tools with an Open Source license. This includes post-event imagery for Typhoon Haiyan in the Philippines and the Japanese Tsunami. Recently, we open sourced a software toolkit called "Mr Geo" http://defensesystems.com/articles/2015/01/14/nga-open-sources-geospatial-analysis-tool.aspx This presentation will give an overview of DigitalGlobe, our geospatial technology and our services we are providing to the Open Source community.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Developing a web mapping application? Why to reinvent the wheel while there is a framework that offers all the web mapping functionalities adaptable for your needs! Oskari is a modular map application framework for easily building varied web mapping applications. Applications can be composed by selecting functionalities from existing components, and custom extensions can be created and attached to applications easily. The existing components range from basics like layer selection and location search to more advanced functionalities like thematic maps and analysis. This presentation enables you to package your code to be part of Oskari, speed up your development by using ready-made tools and easily add server-side functionality to the existing implementation. Techstack includes Javascript, OpenLayers 2/3, Java, Geotools, Geoserver, PostgreSQL with PostGIS. Oskari is used in a wide range of different national and international web mapping services and it is continuously developed to better serve the changing requirements both by adding functionalities and perfecting the existing ones. Come and join the fast-growing group of Oskari Developers!

uk: вхід без авторизації

name: Technical introduction to Oskari - A Modular web mapping application framework!


uk: Комп'ютерні науки

description: uDig is an open source (EPL/BSD) desktop application framework, built with Eclipse Rich Client (RCP) technology. This presentation shows new geoprocessing toolbox in uDig desktop application framework.

uk: вхід без авторизації

name: New Geoprocessing Toolbox in uDig Desktop Application Framework


uk: Комп'ютерні науки

description: Aerial imagery is a core base of many mapping related projects. With the increase in the use of Unmanned Aerial Vehicles (UAVs), lower cost satellites and more generally openly licensed imagery, there is a need for one place to search and access that imagery. This is a big undertaking, and certainly can't be left in the hands of a single company or organization. OpenAerialMap (OAM) addresses these issues with transparency and open access. A project for 10 years, OAM has been relaunched as of 2014. Now under active development, a dedicated open-source community is emerging. This presentation will cover the following topics: * The general architecture of OAM * How to contribute data directly to the system or by hosting your own node * The future road map and how volunteers can contribute

uk: вхід без авторизації

name: OpenAerialMap: A Distributed Commons for Searching and Hosting Free Imagery


uk: Комп'ютерні науки

description: One major strenght of QGIS is its easy but comprehensive extensibility with Python plugins. This talk shows a selection of more than 25 plugins covering many areas of use. Included are Must-Haves like the well known Open Layer plugin, less known core plugins like offline editing and insider tips like the Remote debugging plugin for developers.

uk: вхід без авторизації

name: QGIS Plugins - From Must-Haves to insider tips


MapServer Status Report

uk: Комп'ютерні науки

description: MapServer version 7.0 is being released in 2015. This presentation will summarise the new and notable features that have been added in this major version, along with some insights as to what's coming up in future releases.

uk: вхід без авторизації


How Simplicity Will Save GIS

uk: Комп'ютерні науки

description: t’s 2014 — we have consumer robots and electric cars, private spacecraft, planet colonization projects, and the Higgs Boson is confirmed, but GIS software is still a mess. You might be able to make sense of it all if you’re a GIS specialist with an academic background, but other creative individuals — designers, developers, tinkerers of all kinds, each with a vision and desire to create meaningful and beautiful maps and visualizations — are constantly losing battles against bloat, clutter, and complexity. How do we reverse this GIS entropy? What does it take to turn complex technology into something that anyone can use and contribute to? An attempt to answer by the creator of Leaflet, a simple JS library that changed the world of online maps forever.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Can you talk to OGC Web Services in JSON instead of XML? You can - with Jsonix, a powerful JavaScript tool for XML - JSON conversion. JSON has probably already replaced XML as a "lingua franca". JSON is much lighter and easier to use than XML, especially in JavaScript-based web apps. In the context of GIS, web mapping is dominated by JavaScript libraries like OpenLayers and Leaflet, which speak JSON natively. But what about the standards? Open Geospatial Consortium defines more than 50 specifications with more than 100 individual versions. Technically almost all of them are XML-based and defined by XML schemas. These are de jure and de facto standards, widely used and well supported. So you still need XML processing in JS web mapping apps. Processing XML is no rocket science, but it's seldom a pleasure to implement. The OL3 KML parser is about 2.5KLoc of dense XML parsing. Even a very simple WMS GetCapabilities format is almost 1 KLOC. From this code around 90% is pure XML parsing and only 10% is the processing of the payload. Would not it be nice if we could talk to the OGC Web Services directly in JSON? So that the developers could focus on the 10%, the payload processing, and cut off the 90% (XML handling) of the effort. Jsonix is an open source library for XML - JS conversion which makes it just possible. With Jsonix you can take an XML Schema and generate XML - JS mappings. These mappings allow you to parse XML in the original schema and get your data in pretty JSON. It also works in the opposite direction: you can serialize JSON in XML, which would correspond to the original XML Schema. What makes Jsonix unique is that it is type and structure-safe. On the JSON side, you will get types and structures exactly as they are defined in the original XML Schema. For instance, xs:decimal is converted into a number in number in JSON, repeatable elements are represented by arrays etc. You just need the corresponding mapping. You can generate Jsonix mappings on your own or use one of the pre-generated mappings. The (unofficial) OGC Schemas Project compiles and provides mappings for many of the popular OGC schemas (OWS, WMS, WFS, CSW, SLD and many more). This presentation gives an overview of Jsonix demonstrates its usage by a number of examples.

uk: вхід без авторизації

name: Jsonix: Talking to OGC Web Services in JSON


uk: Комп'ютерні науки

description: Facebook's React is a rising star in the crowded JavaScript ecosystem. It is not a Model-View-Controller framework, it is actually the V in MVC. Encapsulated components promise more code reuse, easy testing and separation of concerns. This talk introduces React and shows the architecture of an OpenLayers 3 based map viewer using React components.

uk: вхід без авторизації

name: Building an OpenLayers 3 map viewer with React


Making Sense of Sensor Data with Maps

uk: Комп'ютерні науки

description: Growth in affordable hardware for sensor data collection is inspiring distributed data mapping globally. From wearables to arduinos, non-profits and NGOs are leveraging small sensor kits as windows into environmental and ecological health, and mapping sensor data meshes increasingly informs how we appreciate the topography of our world. Still, the parsing and processing of these data in meaningful ways remains a non-trivial challenge for most organizations. At CartoDB, we're working on ways to make this more intuitive, and improve access to geo-referenced sensor data for all. This session will tackle a few sensor data case studies powered by a FOSS stack in the domains of: * water quality/availability * agricultural security * ecological sustainability * animal migration And we'll discuss: * sensor data types, kits, and hardware components * data transformation, cleaning and parsing * mapping data dynamically and statically for public sharing We'll explore some of the challenges to mapping and graphing sensor data via a few case studies in the non-profit field and a few tools (CartoDB, Ushahidi) in the open source space.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: DESCRIPTION: Organizations of all sizes face issues harmonizing data between disparate sources in a way that is both efficient and useful for analysis and visualization. Geo-Ontologies offer an approach to data management that enables flexibility for interacting with data in a generic context even if the data is lacking geometries or contains problematic text errors. RunwaySDK is an open source ontology engine which empowers robust web visualizations to serve the analytical needs of organizations both large and small. Built on open source tools and driven by real world needs, GeoDashboard (also Open Source) exposes the flexibility gained from RunwaySDK by empowering users with robust features for managing and visualizing their data from a web-browser. This talk will focus on how GeoDashboard's use of Geo-Ontologies enables dynamic mapping of almost any dataset in meaningful ways to fight disease and sanitation issues in developing countries. ABSTRACT: Ontologies in software development are a way to apply human like inferences to data, such as a bee is an insect. Geo-Ontologies focus on the geographic relationships of ontologies, such as Seoul is within Korea. Ontologies offer a valuable approach to data management because it allows for building a complex network of structured relationships. These well defined relationships can also be used to analyze and map data regardless of whether the data points include geometries. Using this approach to software development coupled with an open source business model has enabled TerraFrame to develop the mature ontology based data engine RunwaySDK and the powerful map based visualization layer GeoDashboard. RunwaySDK has been used in conjunction with an application tier to fight vector borne disease in multiple countries. GeoDashboard is a newer open source application built with PostGIS, GeoServer, Leaflet.js, and RunwaySDK which enables users to gain control over both data management and visualization all from a web-browser. The goal of GeoDashboard is to give organizations of all sizes the means to solve and share difficult problems through easy and accessible tools. This talk will introduce the basics of RunwaySDK's Geo-Ontology model and how it is being used in GeoDashboard to allow users to: *Dynamically map layers aggregated against political boundaries *Dynamically map layers with different geometric and cartographic representations *Dynamically filter data across related layers in a map *Dynamically query ontology data that layers are mapped against *Manage data relationship structures through ontology web widgets *Manage geographic data through web widgets *Expose data quality issues through web widgets

uk: вхід без авторизації

name: Turning Data into Information with Geo-Ontologies


uk: Комп'ютерні науки

description: In order to implement indoor spatial information services, we need an indoor spatial data server. However due to the differences of indoor space from outdoor, most conventional geospatial data servers are not adequate for indoor spatial data. First the position in indoor space can be specified by the identifier of cell containing the position rather than (x,y,z) coordinates. Second, indoor space is considered as a set of non-overlapping indoor cells unlike outdoor space. Third, the indoor distance metrics must be differently defined from Euclidian space considering obstacles such as walls, doors, and stairs. We developed a spatial data server called ISA (Indoor Spatial Awareness) server to meet the requirements of indoor spatial data and have been working for converting it to an open source using GeoTools. With the ISA server, we can store and manage indoor spatial objects, whether stationary or mobiles, and retrieve objects with indoor spatial predicates. We expect that this server will be used as a common data server for indoor spatial information applications.

uk: вхід без авторизації

name: ISA Server - An Indoor Spatial Data Server


Using Spark in Weather Applications

uk: Комп'ютерні науки

description: "Many important weather related questions require looking at weather models (NWP) and the distribution of model parameters derived by ensembles of models. The size of these datasets have restricted their use to event analysis. The ECMWF ensemble has 51 members. Using all these members for statistical analysis over a long period of time requires very expensive computational resources and a large amount of processing time. While event analysis using these ensembles is invaluable, detailed quantitative analysis is essential for assessing the physical uncertainty in weather models. Even more important is to potentially detect different weather regimes and other interesting phenomena buried in the distribution of NWP parameters that could not be discovered using a deterministic (control) model. Existing tools, even distributed computing tools, scale very poorly to handle this type of statistical analysis and exploration - making it impossible to analyze all members of the ensemble over large periods of time. The goal of this research project is to develop a scaleable framework based on the Apache Spark project and its resilient dataset structures proposed for parallel, distributed, real time weather ensemble analysis. This distributed framework performs parsing and reading GRIB files from disk, cleaning and pre-processing model data, and training statistical models on each ensemble enabling exploration and uncertainty assessment of current weather conditions for many different applications. Depending on the success of this project, I will also try to tie in Spark's streaming functionality to stream data as they become ready from source, eliminating a lot of code that manages live streams of (near) real-time data."

uk: вхід без авторизації


uk: Комп'ютерні науки

description: So far the SDIs are portals where a group of authoritative experts publish data of public interest. However, with the advent of smartphones and the multiplication of sensors in our environment, there is a demand to publish collaborative data on these platforms. Is it possible to combine both systems? Will these collaborative data be useful? How can we ensure that the data have enough quality? So many questions to answer within a research project from the European Commision: Cobweb. Cobweb tries to build a solution for smart cities and citizen science (also smart rural). Focused on the usecase of research around Biosphere Reserves and endangered species, we are combining different technologies to ensure not only that arbitrary data can be easily collected on the field but also that there is a conflation and quality assurance process where data is classified and prepared for later use. Security and privacy of personal details are also part of the project.

uk: вхід без авторизації

name: Citizen science and Smart cities, the evolution of GIS


Arctic Web Map and PolarMap.js

uk: Комп'ютерні науки

description: Arctic Web Map (AWM) is an Arctic-specific web mapping tool allowing researchers and developers to customize map projections for scientifically accurate visualization and analysis, a function that is critical for arctic research but not easy to do with existing web mapping platforms. It provides a visually appealing tool for education and outreach to a wider audience. Arctic Web Map has two components: An Arctic-focused tile server offering mapping tiles, and a Leaflet-based client library. By providing tiles in multiple Arctic projections, data can be more accurately visualized compared to most Mercator projected map tiles. The open source client library, PolarMap.js, is designed to be easy to use and easy to extend. It does this by providing a simple wrapper for building a typical Leaflet map, and also by providing base classes that can be customized to build a web map for your specific situation. This presentation will present and demonstrate the AWM and PolarMap.js and some real-world applications will also be discussed and demonstrated.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: This presentation introduces application cases of open source GIS for scientific national park management in Korea. Korea National Park Service (KNPS) is a public organization that manages almost all domestic national parks. GIS is a core technology for the park management, but the cost of commercial software had been limited the diffusion of GIS. Now, park rangers of KNPS are using QGIS that is a representative open source geospatial software, and they make themselves various GIS and remote sensing-based maps. For this, KNPS launched a QGIS education program for employee training. As a result, they started making maps using QGIS and many useful plugins, including Animove for QGIS, Semi-Automatic Classification Plugin (SCP), and Oceancolor Data Downloader. A variety of natural resources maps can be made from GPS field data, and time-series satellite images can be processed into climate change effect maps such as forest health, sea surface temperature (SST). Moreover, a graphical modeler feature of QGIS enables an automatic data processing. The Drone Flight Simulator called Park Air System, is also being developed using open source geospatial libraries. Using QGIS, KNPS makes all geospatial data like a trail, facility, and natural resources and is opening to the public freely. KNPS won the President's Prize in 2014 for the hard work.

uk: вхід без авторизації

name: An open source GIS application for scientific national park management


uk: Комп'ютерні науки

description: In several decades, understanding and predicting the flood discharge at mountain and ungaged region have been of great concern to the hydrologists an water resources engineers n real fields. Even f Several methodologies and approaches relating geomorphological aspects of those basins have been developed and applied to solve that questions, it is still in the stage of progress in this field due to its difficulties obtaining appropriate geomorphological information and systemizing the geomorphological approaches to traditional approaches. Moreover, the flash flood prediction and warning system at the ungaged regions have been interested in the hydrological fields recently because of its high frequent occurrence and serious damage features caused by climate change ans land use practice over the world. The flash flood problems have been known as one of challengeable topics, otherwise the related researches may not be satisfied until now. In this study, we developed two model system which can consider both the flood hydrograph analysis based on geomorpho-hydrological theory called Open Source GIS-based Geomorpho-hydrological Watershed Modeling System(OSG²WMS) and can be applicable to the flash flood warning scheme called Flash Flood Prediction model in Ungaged Basins(F²PUB). In addition to adapting GCUH process in G² WMS, we developed the modified geomorpho-hydrological unit hydrograph method called Korea-GCUH(K-GCUH) which contained the watershed and river characteristics of own Korean mountain regions and can be applied simply with basic river characteristics without complex geophysical analysis by Open Source GIS.

uk: вхід без авторизації

name: Open Source GIS-based Geomorphohydrological Watershed Model and it's Application to Flash Flood Prediction in Ungaged Basins

name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: Using the data of the Republic of Korea Marine waters around introduce a data visualization method through interpolation.

uk: вхід без авторизації

name: Ocean data Interpolation using Open Source GIS


uk: Комп'ютерні науки

description: The department of geoinformation of the canton of Zurich/Switzerland has carried out a high-resolution laser scanning (LIDAR) last year over the entire canton of Zurich. The extensive data (8 pts / m2) have now been evaluated, and a digital surface (DSM) and terrain model (DTM) created (dot grid of 50 cm and horizonal and vertical accuracies of 20 cm, resp. 10 cm. This is the first time high-resolution elevation data is widely available for the entire canton of Zurich. In the past, lidar data have been collected only for small-scale projects. As a novelty, the department has decided to provide the lidar data and its derived products, i.e. DTM and DSM, as open data to the public. With this decision new standards are set not only in terms of accuracy and scope, but also in the usage as open government data. The lidar data can provide valuable support for example in the areas of infrastructure, urban planning, regional planning, natural hazard assessment, forestry, environment, energy, line survey, solar potential analysis, surveying, archeology, agriculture, water or noise. Due to the planned repetition cycle of four years even time series and monitoring projects are possible. Therefore it is not surprising, that since the opening as open data, many interesting applications using this data have been created. The presentation will show the high-resolution data and its possible usage for terrain-visualizations. A selection of the most appealing visualizations will be demonstrated, e.g. an Oculus Rift version enabling the user to navigate through virtual reality. It will further give an insight in the challenge of opening up the LIDAR?data for the public, i.e. setting up an open-data strategy in the cantonal administration of Zurich.

uk: вхід без авторизації

name: High-precision open lidar data enable new possibilities for spatial analysis in the canton of Zurich/Switzerland


uk: Комп'ютерні науки

description: This presentation will provide detailed information on how to ingest and configure SpatioTemporal in GeoServer to be served using OGC services, with examples from WMS and WCS services. Topics covered are as follows: * Discussion over existing data formats and how to preprocess them for best serving with GeoServer * Configuring SpatioTemporal raster and vector data in GeoServer * Serving SpatioTemporal raster and vector data with OGC Services Tips and techniques to optimize performance and allow maximum exploitation of the available data The attendees will be provided with the basic knowledge needed to preprocess and ingest the most common spatiotemporal data from the MetOc and Remote Sensing field for serving via GeoServer.

uk: вхід без авторизації

name: GeoServer for Spatio-temporal Data Handling With Examples For MetOc And Remote Sensing


uk: Комп'ютерні науки

description: The monitoring of snow cover extent is important for the management of natural resource, extreme events prediction such as snowmelt floods, avalanches etc. The current status is that the network of weather stations is too sparse in regions with seasonal snow cover to provide reliable snow monitoring and impact applications. Remote sensing can regularly provide maps of snow cover extent, under limitations imposed by satellite cycles or cloud cover. A number of daily or synthesis snow cover extent products, covering Romania, with different resolutions and specifications, are available for free (e.g. GLOBSNOW, CryoLand, H-SAF, IMS). These products were homogenized and included, along with reference and in-situ data, into an application that make possible for user to inspect, process, analyze and validate the information, using a web based interface. The platform, created by National Meteorological Administration of Romania offers services based on Open Geospatial Consortium standards for data retrieval (WMS, WCS, WFS) and server-side processing (WPS, WCPS). The services were built upon open source solutions such as GeoServer, OpenLayers, GeoExt, PostgreSQL, GDAL, rasdaman. The application is composed of several software modules/services. The modules are split into two categories: server-side modules/services and client side modules - responsible for interaction with the user. A typical usage scenario assumes the following steps: 1. The user is operating the client functionality to select a temporal and spatial slice from a product cube (e.g. 5 months archive of daily CryoLand FSC data); 2. The users select a statistic method to be applied; 3. The request is sent to the server side processing applications wrapped as WPS or WCPS calls; 4. The process will trim/slice the coverage cube, perform the statistic operation for the pixels within the ROI for each day in the selected time interval; 5. The results are sent back encoded in a standard file format; 6. The web client display the results in a relevant form.

uk: вхід без авторизації

name: Satellite Snow Cover Products Evaluation and Validation Platform Developed Entirely With Floss Software


uk: Комп'ютерні науки

description: In denmark the public authorities register various core information about individuals, businesses, real properties, buildings, addresses, ect.. This information is re-used throughout the public sector. It is a challenge for public authorities to re-use data from different providers to perform their tasks properly and efficiently across units, administrations and sectors. Therefore all the authoritative basic data should be defined and standardized according to the same methods. Danish Geodata agency as Denmark's central public source of geographic data has established a set of guidelines for future modelling of spatial data for distributing them as open geographic data. Based on the guidelines a model-driven process has also been established. It starts from the data modelling in UML to the end where data are distributed through WFS services and download services. One INSPIRE WFS service will be used as a concrete example.

uk: вхід без авторизації

name: Geodata for Everyone - Model-driven development and an example of INSPIRE WFS service


uk: Комп'ютерні науки

description: Local government fire departments need to demonstrate their performance and efficiency. In this session we will show how CartoDB and Torque are being used to visualize fire department responses to emergency events throughout the city allowing city officials to better understand how they are performing. We will also briefly discuss why routing based on Open Street Maps is not yet sufficient enough to be used for this analysis. Effective Response Force (ERF) is one method that fire departments use to measure their level of success. An ERF is a set of specific resources required to perform a particular task within a set amount of time. For example, the Effective Response Force for a residential building fire, which is less than 200 square meters in size, needs to be four fire engines, one ambulance and a fire chief. These resources may be coming from different fire stations; they may be coming directly from other emergency events. They may even come from neighboring cities. Using CartoDB and Torque we can visualize several things; the expected travel routes each of these resources may have taken, compare these routes to expected drive-times based on GIS road network analysis and also show the order in which each of these resources arrived at the destination.

uk: вхід без авторизації

name: Visualizing Fire Department Responses with CartoDB


uk: Комп'ютерні науки

description: Norway represents one of the countries with most newspapers and media outlets per person. One topic that has an everlasting interest is land registration data - or more commonly: Who bought which properties and what was the price. Land registration data has always been a public data set. Every citizen can request specific information on who has rights to which properties. Up until 1. January 2014 the digital version of this data set was monopolized by law to one vendor - obviously inhibiting innovation. Starting in 2014 - land registration data has been opened and is now accessible to everyone. Webatlas seized this opportunity and hired two summer interns. The task was fairly easy: "Revolutionize the way land registration data is used in local newspapers." After two hard-working months the resulting web application was used by a local newspaper with great results. The newspaper could finally showcase an interactive leaflet map displaying all real estate transactions in the area of interest. Behind the scenes the interns experienced a steep learning curve using PostGIS, GeoServer, Leaflet and a range of excellent plugins. Some of the more stable parts made it to the general use with an Open Source license on GitHub. Today. The solution is used in the majority of Norways newspapers - now showcasing more maps than ever! All made possible by two excellent interns, open data sets and well proven Open Source software components.

uk: вхід без авторизації

name: Revolutionizing map use in Norwegian newspapers


uk: Комп'ютерні науки

description: More and more geospatial resources (datasets, services, maps, ...) are described in metadata catalogs. Now, users need to be able to get an overview of the resources available (eg. data quality, dissemination formats) for evaluating their data policies. This could be achieve with tools for analyzing and reporting on large sets of information and dynamically compute reports and build dashboards. This presentation will show how to collect information from CSW catalogs, compute reports and indicators and build and publish online dashboards using Solr and banana opensource projects. This will be illustrated by the INSPIRE Directive monitoring in Europe and the MedSea project.

uk: вхід без авторизації

name: Dynamic analysis, reporting and visualization of metadata catalogue


PostGIS Feature Frenzy

uk: Комп'ютерні науки

description: What can you do with this PostGIS thing? This talk covers some basic and not��so��basic ways to use PostGIS/PostgreSQL to process spatial data, to build infrastructures, and to do crazy things with data. PostGIS has over 300 functions, which in turn can be used with the many features of the underlying PostgreSQL database. This talk covers some basic and not��so��basic ways to use PostGIS/PostgreSQL to process spatial data, to build infrastructures, and to do crazy things with data. Consider the possibilities: raster, topology, linear referencing, history tracking, web services, overlays, unions, joins, constraints, replication, json, xml, and more!

uk: вхід без авторизації


State of GeoServer

uk: Комп'ютерні науки

description: State of GeoServer reviewing the new and noteworthy features introduced in the past year. The project has an aggressive six month release cycle with GeoServer 2.7 and 2.8 being released this year. These releases bring together exciting new features. A lot of work has been done on processing services with clustering, security and processing control. The rendering engine continues to improve with the addition of color blending opening up a range of creative possibilities. The CSS extension (used to easily generate OGC standard styles) has been cleaned up with a rewrite. This talk will highlighted updates on data import, application schema use, data transforms and the latest from the developer list. 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 these projects can do for you, this talk is for you.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Cloud-based mapping technologies are changing the way that the world interacts with GIS. Technologies that allow for aggregate querying of data that is both geospatial and temporal presents unique challenges and fruitful lines of inquiry. At CartoDB, we are pushing ahead with new ways of looking at spatio-temporal data visualization--which we have named Torque--, with intriguing results for both scientists and journalists. In this session, we will present use cases that offer unique ways of looking at data. We will also present challenges that lie ahead with our unique technology. My background in mathematical physics studying timeseries analysis has led to interesting insights and crossovers with the developers/hackers that originated the underlying technology. I hope to present the many lessons we've learned from Torque.

uk: вхід без авторизації

name: Temporal Maps leading to new views in Spatial Analysis


keywords:
UrbanFootprint
planning
urban
regional
GIS
transportation
land use
place types
mixed use
mixed-use
demographics
scenario
city
state
PostGIS
PostgreSQL
Ubuntu
Linux
travel
VMT
transit
walk
pedestrian
bicycle
fuel
cost
criteria pollutant
electricity
consumption
criteria
impacts
energy
water
buildings
land
infrastructure
capital
operations
maintenance
O&M
revenue
fiscal
residential
commercial
development
public
health
obesity
asthma
rhinitis
vehicle
collisions
respiratory
cardiovascular
incidences
GHG
greenhouse
gas

uk: Комп'ютерні науки

description: UrbanFootprint is a new open source scenario planning tool that seeks to revolutionize the practice of planning, with the potential to allow for a closer integration with research, public involvement, and education. Within version 1.1 alpha now complete and the next version currently under development, UrbanFootprint is a new state-of-the-art model that uses open source geographic information system (GIS) technology to create and evaluate physical land use/transportation investment scenarios. It is designed to be deployed by government agencies, private entities and NGOs. The model translates disparate data describing the existing environment and future urban development plans into a common data language, and defines future scenarios through the application of a new common set of ÔPlace Types'. The model's suite of Place Types represents a complete range of development types and patterns, from higher density mixed-use centers, to separated-use residential and commercial areas, to institutional and industrial areas. The physical and demographic characteristics associated with the Place Types are used to calculate the impacts of each scenario. UrbanFootprint represents the new standard for scenario modeling tools intended for use by urban and regional planners at the local, county, regional, state or national level. Running on a backbone of PostGIS, PostgreSQL and Ubuntu Linux 64-bit, it takes full advantage of today's hardware processing capabilities to model the impacts of future urban growth scenarios on the base (existing) environment in future years to generate outcomes for a full list of metrics, including: Travel behavior (vehicle miles traveled, transit trips, walking trips, fuel consumed, fuel cost, criteria pollutant emissions, transportation electricity consumed and impacts); Energy & Water consumption (for transportation & buildings); Land Consumption by type; Infrastructure Cost (capital and operations & maintenance); City revenue from residential development; Public Health Impacts (Obesity, Asthma, Rhinitis, Pedestrian-Vehicle Collisions, Respiratory & Cardiovascular Health Incidences); and Greenhouse Gas (GHG) Emissions.

uk: вхід без авторизації

name: UrbanFootprint: Next-Gen Scenario Planning Tool


The way to go with WPS

uk: Комп'ютерні науки

description: How to find your way in difficult terrain, with obstacles, hazards, and deep snow? We present a solution for cross-country path planning and mobility, based on OSGeo software and open data. A large graph representing terrain, roads, and paths is stored in PostGIS for use with the pgRouting module of shortest path algorithms. The graph is based on detailed topography, soil type and vegetation data, and edge weights can be adapted for hikers and vehicles. The application is service oriented and held together by the Web Processing Service (WPS), the OGC interface standard for computation-oriented web services. A key component is the ZOO WPS server. The presentation will discuss WPS benefits and describe graph and weight generation, including challenges such as accounting for dynamic data about temporary hazards, weather, etc.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: GeoExt (http://geoext.github.io/geoext2/) is Open Source and enables building desktop-like GIS applications through the web. It is a JavaScript framework that combines the GIS functionality of OpenLayers with the user interface savvy, rich data-package and architectural concepts of the ExtJS library provided by Sencha. Version 2.1 of GeoExt (currently in alpha-status) is the successor to the GeoExt 1.x-series and brought support for ExtJS 5 and is built atop the following installments of its base libraries: OpenLayers 2.13.1 and ExtJS 5.1.0 (or ExtJS 4.2.1 at your choice). The next version of GeoExt (v3.0.0?) will support OpenLayers 3 and the new and shiny ExtJS 6 (not finally released at the time of this writing). The talk will focus on the following aspects: * Introduction into GeoExt * New features in OpenLayers 3 and ExtJS 6 and how they can be used in GeoExt * The road towards GeoExt 3 * Results of the planned Code Sprint in June (see https://github.com/geoext/geoext3/wiki/GeoExt-3-Codesprint) * Remaining tasks and outlook The new features of OpenLayers (e.g. WebGL-support, rotated views, smaller build sizes, etc.) and Ext JS 6 (Unified code base for mobile and desktop while providing all functionality of ExtJS 5) and the description of the current state of this next major release will be highlighted in the talk. Online version of the presentation: http://marcjansen.github.io/foss4g-2015/Towards-GeoExt-3-Supporting-both-OpenLayers-3-and-ExtJS-6.html#/

uk: вхід без авторизації

name: Towards GeoExt 3 – Supporting both OpenLayers 3 and ExtJS 6


uk: Комп'ютерні науки

description: Release in April 2014, this talk will introduce the major changes of the new standard for metadata on geographic information and what are the benefits for the data managers. It will be illustrated by its implementation in the latest GeoNetwork 3 version and with examples on how the Wallonia Region in Belgium migrated to it.

uk: вхід без авторизації

name: Using the latest ISO standard for geographic information (ISO19115-1:2014)


uk: Комп'ютерні науки

description: Local governments in Korea are trying to solve urban problems using GIS policy map. Through FOSS4G Seoul, I want to introduce example of Dobong-gu, Seoul. Topic 1. Spatial Analysis of Practical Requirements of Parking Lot The residents who live in the old residential zone in Dobong-gu are suffering from shortage of parking spaces every morning and night. Most administrators are using an indicator named ‘a ratio of cars to parking spaces’ to judge seriousness of the problem with parking. But the indicator cannot reflect reality. We measured practical requirements of parking lot spatially, using micro block data and car registration data with addresses. We tried to look at things from the resident’s perspective, not from administrator or provider. Now, Dobong-gu push ahead with sharing parking lot program with houses which have spare parking spaces. Topic 2. Civic Participation Model for Solving Children’s School Walkway Safety Problems. Office of Policy Development of Dobong-gu did a survey with a thousand residents about safety issue, and many of them answered that they feel fear walking down the alley. Although the Office got the policy implication from survey, they couldn’t convince the definition of ‘alley’ and accurate location where the residents feel fear. Office and we redesigned survey paper cooperatively. The improvement point was ‘Map-based Survey’. Elementary school students and their parents participated and they lined school walkway and alleyways where they felt fear on paper map. We migrated all the lines on papers to shape files using QGIS, then we got a very satisfactory outcome. Office of Policy Development added LED lights to the dark street nearby elementary school, Elementary school teachers decided the walkway guidance spot by referring to students often jaywalk.

uk: вхід без авторизації

name: GIS Policy Map for Local Government in Korea: Story of Dobong-gu, Seoul


uk: Комп'ютерні науки

description: triple-A for the environment: make IT simply better With the new Dutch Environment Act, the legal framework for development and maintenance of the physical environment becomes more understandable and manageable for citizens, businesses and governments. A simpler and more coherent environmental law contributes to work actively and efficiently on a dynamic and sustainable environment. This entire exercise of harmonization, reduction and integration is headed by the motto “Simply better”. In addition to the merging several dozen laws and regulations in one Environment Act (http://www.omgevingswet.nl), also the central IT office where citizens can apply for a environmental permit is further improved. This should make it easier to obtain a permit for example for a construction or business activity. The information presented in this central IT office must fulfill the triple-A requirements, i.e. Accessible, Applicable and Abiding. On the basis of this is a national system of open (geo)data registers of which the data acquisition and management is mandated to (semi-)government organizations. On each area of environmental law, a domain expert is appointed; stakeholders of each domain are metaphorically organized in an ”information house”, and all houses are situated metaphorically along “the avenue of the environment”. Goal of the improved central IT office is to provide a clear understanding of the relevant legislation and to allow each actor in the process to work with the same data and definitions. Therefore, we developed a prototype which presents a concept of linking data, definitions and regulations stored in one central register using an online mapping service as user interface. Using Linked Data as strategy with persistent URIs, we are able to link the concepts in this register to an end-user prototype application. We implemented an prototype for the question: “Do I need an environmental permit for… applying a change in business activity?“. An air quality impact assessment is computed based on user input an visualized in a map interface showing the effects of an increase of nitrogen emission on the nearby nature reserves after extending a greenhouse farming. We used the AERIUS calculation tool (http://www.aerius.nl/) of the National Institute for Public Health and the Environment and presented the returned geodata as GeoJSON in the Leaflet Map API (http://www.leaflet.org). With this prototype, we provide a concept which facilitates the clear understanding of the requirements for an environmental permit by making IT simply better.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Today's web browsers, their rendering engines and JavaScript interpreters are able to display relatively big amounts of vector data. Moving from DOM rendering (as it was implemented with help of SVG in for examples OpenLayers 2) to Canvas (and further to WebGL -- as we are now having in OpenLayers 3 or Leaflet) enables us to display thousands of complex vector features, with complicated on-client vector data styling. With this possibility, we are facing now new types problems: how to send such amount of data through limited internet connection? If we have closer look at the problem, we can see clearly, that old database paradigm has raised one more time: we can not have all three attributes of data in one pot, but only 2 of them: speed of the delivered data or amount of delivered data or their topicality. If we take this limits into account and decide to deal with big amounts of data in fast way, topicality must be sacrificed. In the talk, we will demonstrate some possible solutions for this problem, using tiled vectors, generalization, aggregation of vector data. Also advantages, disadvantages of various new and popular vector formats, such as GeoJSON, TopoJSON or MapBox will be discussed. Geometric data do not have be rendered all the time in all scales and over whole area of interest, but only necessary portion of them. If displayed in smaller scales, aggregation and generalisation can take place on the server side. That implies, that using vector caching mechanism could be considered as well. But if we need direct interaction of the server input with cached vector data, mechanism for this must be defined as well. Also attribute data have to be transfered separately, if all the optimisation was put in the vector geometries. Also possible steps between cached data and real-time data will be discussed.

uk: вхід без авторизації

name: Push it through the wire! Push it more, if it's wireless!


uk: Комп'ютерні науки

description: MapCache is a tiling server component designed to be efficient while still comprising all the features expected from a modern tiling solution. This presentation will give a brief presentation of the MapCache tiling solution, along with the recent developments that were added to reply to the needs of large scale installations (cache replication, load balancing, failsafe/fallback operations, large cache management, etc...)

uk: вхід без авторизації

name: MapCache: Fast and Featureful tile serving from the MapServer project


uk: Комп'ютерні науки

description: The presentation will provide an introduction to GeoServer own authentication and authorization subsystems. We’ll cover the supported authentication protocols, such as from basic/digest authentication and CAS support, check through the various identity providers, such as local config files, database tables and LDAP servers, and how it’s possible to combine the various bits in a single comprehensive authentication tool, as well as providing examples of custom authentication plugins for GeoServer, integrating it in a home grown security architecture. We’ll then move on to authorization, describing the GeoServer pluggable authorization mechanism and comparing it with proxy based solution, and check the built in service and data security system, reviewing its benefits and limitations. Finally we’ll explore the advanced authentication provider, GeoFence, explore the levels on integration with GeoSErver, from the simple and seamless direct integration to the more sophisticated external setup, and see how it can provide GeoServer with complex authorization rules over data and OGC services, taking into account the current user, OGC request and requested layers to enforce spatial filters and alphanumeric filters, attribute selection as well as cropping raster data to areas of interest.

uk: вхід без авторизації

name: Advanced Security with GeoServer and GeoFence


WPS Benchmarking Session

uk: Комп'ютерні науки

description: The yearly Web Processing Service (WPS) benchmark. Variuos WPS implementations will be tested regarding their capabilities, compliancy to the standard and performance. Traditionally, each participating project designates individuals from their community to participate in this talk to introduce their project and summarize its key features. The focus this year will be on compliancy and interoperability. We will present the test set-up, participating WPS projects and the results of the benchmark.

uk: вхід без авторизації

name: Open Source Geospatial Foundation (OSGeo)


OSGeo and LocationTech Comparison

uk: Комп'ютерні науки

description: We have two great organizations supporting our Free and Open Source Software for Geospatial: The Open Source Geospatial Foundation and LocationTech. Putting on events like FOSS4G is primary responsibility of these software foundations - supporting our great open source software is! This talk will introduce OSGeo and LocationTech, and balance the tricky topic of comparison for those interested in what each organisation offers. We will also look at areas where these organizations are collaboration and explore possibilities for future work. Each of these software foundations support for their existing projects, ranging from "release parties" such as OSGeo Live or the Eclipse Annual Release. We are also interested in the ��incubation�� process each provides to onboard new projects. Review of the incubation provides an insight into an organization's priorities. This talks draws the incubation experience of: * GeoServer (OSGeo), GeoTools (OSGeo), * GeoGig (LocationTech), uDig (LocationTech) If you are an open source developer interested in joining a foundation we will cover some of the resource, marking and infrastructure benefits that may be a factor for consideration. We will also looking into some of the long term benefits a software foundation provides both you and importantly users of your software. If you are a team members faced with the difficult choice of selecting open source technologies this talk can help. We can learn a lot about the risks associated with open source based on how each foundation seeks to protect you. The factors a software foundation considers for its projects provide useful criteria you can use to evaluate any projects.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: The purpose of this presentation is, on a side, to dissect the developments performed during last year as far as raster data support in GeoTools and GeoServer is concerned, while on the other side to introduce and discuss the future development directions. Advancements and improvements for the management of multidimensional raster data (NetCDF, GRIB, HDF) and mosaic thereof will be introduced, as well as the available ways to manage sliding windows of data via the REST API and importer. Extensive details will be provided on the latest updates for the management of multidimensional raster data used in the Remote Sensing and MetOc fields, including support for WCS EO and WMS EO, and some considerations on the WCS MetOc extensions. The presentation will also introduce and provide updates on jai-ext, imageio-ext, and JAITools. jai-ext provides extended JAI operators that correctly handle NODATA and regione of interests (masks), JAITools provides a number of new raster data analysis operators, including powerful and fast raster algebra support, while ImageIO-Ext bridges the gap across the Java world and native raster data access libraries providing high performance access to GDAL, Kakadu and other libraries. The presentation will wrap up providing an overview of unresolved issues and challenges that still need to be addressed, suggesting tips and workarounds allowing to leverage the full potential of the systems.

uk: вхід без авторизації

name: Raster Data In GeoServer And GeoTools: Achievements, Issues And Future Developments


uk: Комп'ютерні науки

description: Couchbase is a distributed document-oriented NoSQL database. You store the data as JSON and then build indexes with simple JavaScript functions. This talk is about the multidimensional index capability of Couchbase. This means you can index not only geographic data (encoded as GeoJSON) but any additional numeric attributes you like. Such a multidimensional query might be used for an application about car sharing. You would e.g. query for all the cars in a certain area, but you're also interested in additional attributes. Let's say you want to display only cars where at least four people fit in. Or you want one with air-conditioning. Such attributes would be the additional dimensions. In this case it would be 4-dimensional query, two for the location and two for additional attributes. Quite often GeoHash is used for implementing a spatial index, which has some limitations. A notable one is that you need to know that maximum range of your data upfront as it's a space partitioning algorithm. It is good enough for purely geospatial data, but as soon as additinal attributes like time are needed, it might become an issue. GeoCouch takes a more traditional approach like PostGIS and uses an R-tree which is data partitioning, hence you don't need to know the extent up-front. Another focus of this talk will be on the operational strengths Couchbase has. One thing is the web interface that makes administrating clusters very easy, even when there's a failure. The other thing is that you can easily restart servers, e.g. when a Linux Kernel upgrade is due, without any downtime on the full cluster. The system stays operational and handles those upgrades gracefully. In the end you will have a good overview on why you really want to use a multidimensional indexing for your remote sensing data or points of interest in your location aware mobile app. GeoCouch is fully integrated into Couchbase, there's no additional setup needed to get started. All source code from Couchbase is licensed under the Apache 2.0 License. Links: - Couchbase: http://www.couchbase.com/ - Source code: https://github.com/couchbase/manifest - GeoCouch: https://github.com/couchbase/geocouch

uk: вхід без авторизації

name: GeoCouch: Operating multidimensional data at scale with Couchbase


uk: Комп'ютерні науки

description: In recent years, large-scale disasters have occurred in the countries of Asia including Japan, rapid collection and sharing of disaster information is required in order to provide relief and support speedy restoration of civic services. This presentation discusses the integration and customization of FOSS4G field survey tools and Web GIS server to facilitate aggregation and rapid sharing of disaster related field information. Further, the system also provide realtime interaction between field party and coordination team. A case study of practical use of the system at the Osaka Water General Service (OWGS) Corporation will be demonstrated to present the salient features of the system. The main capability of the system usability is normal as well as disaster situation will be highlighted.

uk: вхід без авторизації

name: Use case of Disaster Management System by using Geopaparazzi and MapGuide Open Source


uk: Комп'ютерні науки

description: Human mobility is an important risk factor affecting disease transmission. Therefore, understanding detailed spatial behaviors and interactions among individuals is a fundamental issue. Past studies using high-resolution human contacts data from smart phones with GPS logs have captured spatial-temporal heterogeneity and daily contact patterns among individuals. However, measuring personalized exposed risk of infectious disease transmission is still under development. The purpose of the study is to establish a location-based framework for assessing personalized exposed risk of infectious disease transmission. The framework consists of three components: the first is client-side smart phone-based risk assessment module. We developed Android application for collecting real-time location data and displaying the personalized exposed risk score. The second component is the server-side epidemic simulation model. The simulation model calculated the personalized exposed risk score based on real-time GPS logs and individual mobility data from the client-side Android application. The last component is the disease alarm device for triggering the service-side epidemic simulation model. We installed infrared sensors in people-gathering areas as the alarm device to monitor human body temperature for detecting fever syndrome. We used NTU main campus as a pilot study to demonstrate the feasibility of the framework. We analyzed the records of students’ taking course and modeled the spatial interaction relationships among classroom buildings due to students’ mobility around the campus. Someone who got a fever is detected by the sensor and the server-side epidemic simulation is triggered. Each student who installed the client-side risk assessment module in his/her smart phone receives the real-time personalized exposed risk score when an epidemic outbreak on the NTU campus. The study proposed a location-based framework for measuring real-time personalized exposed risk. Each student at the campus could understand the spatial diffusion of disease transmission and make better spatial decisions based on personalized exposed risk scores.

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name: A framework for assessing location-based personalized exposure risk of infectious disease transmission


Gis Server with Golang.

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description: GIS Server architecture with Golang. Find the better way of Golang GIS Server.

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uk: Комп'ютерні науки

description: The presentation is about the development and application of CourtVisionPH. CourtVisionPH is a system developed for the extraction, storage, and analysis of basketball-related spatial information. It focuses on the extraction of field goal attempt (FGA) locations from broadcast basketball videos and the spatial analysis of shooting by means of statistics and maps/visualizations. The system was developed using the Python Programming Language. It features a database for storing spatial and non-spatial information and a Graphical User Interface (GUI) to help the user and the system interact. The modules used in the development include Tkinter for the GUI, SQLite for the database, Numpy for the computations, Pillow for image processing, and OpenCV for video rendering. The system has three independent but interconnected functionalities each with its own specific task: (1) Data Management which handles database connections, (2) Spatial Data Extraction for user-assisted extraction of FGA locations from videos using 2D-projective coordinate transformation and validation of transformed FGA locations sing RMSE and back-transformation, and (3) Spatial Analysis that computes statistics, generates maps/visualizations, and query-based analysis. After the development of the system, it was applied on UP Fighting Maroons and the DLSU Green Archers during the 2nd Round of University Athletics Association of the Philippines (UAAP) Season 76 (2013-2014). Videos publicly available online through youtube.com were used for extracting field goal attempt locations. Shots taken too far from the basket (half-court heaves, etc.) or those with bad RMSE or back-substitution results were excluded from the extraction. The extracted FGA locations were then validated using box-scores. Afterwhich, the system was used to analyze and compare the two teams and their players using statistics and visualizations and show that spatial analysis provides more information and allows for better characterization and appreciation of shooting than conventional, non-spatial techniques.

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name: CourtVisionPH: A System for the Extraction of Field Goal Attempt Locations and Spatial Analysis of Shooting Using Broadcast Basketball Videos


uk: Комп'ютерні науки

description: We propose one of the practical case that the students are able to handle Geospatial Information and to make a map by using the FOSS4G. In recent years, the informatization of education is progressing in Japan. Its aim is to distribute one information device per one child in 2020 by informatization of education. However, it is not easy to implement the information device as the educational method. It is the same situation with respect to geographic information technology for education. From such a background, we founded the NPO in order to help the school by using a geographic information technology in 2011. We have carried out some of technical workshops for teachers, development of GIS teaching materials, and the provision of curriculum. Especially it is important to use geographic information technologies in geographical and historical education. In the classroom of geography and history, students can understand with realistic by using the GIS teaching materials. Therefore, we provide the teaching materials created by GIS for teachers or students. GIS can develop the teaching materials to maximize the imagination of students. Mainly, we have been using QGIS in the development of teaching materials. The KML file is an output from QGIS. The method is to provide database system in web by KML file materials. The name is OpenTextMap. The FOSS4G have been effective in this activity. Our goal in this talk is to share the educational practice by FOSS4G to other people.

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name: How can the students get Geospatial Information and make a map by using the FOSS4G.


uk: Комп'ютерні науки

description: This presentation shows the processes and methods for developing distributed rainfall-runoff modeling system using open source softwares. The objective of this study is to develop a MapWindow plug-in for running GRM (Grid based Rainfall-runoff Model) model (MW-GRM) in open source GIS software environment. MW-GRM consists of the GRM model, physically based rainfall-runoff model developed by Korea Institute of Civil Engineering and Building Technology (KICT), for runoff simulation, pre and post processing tools for temporal and spatial data processing, and auto-calibration process. Each component is integrated in the modeling software (MW-GRM), and can be run by selecting the MW-GRM menus. In developing MW-GRM, free software and open source softwares are used. GRM model was developed by using Visual Basic .NET included in Microsoft Visual Studio 2013 express, pre and post processing tools were developed by using MapWindow (Daniel, 2006) and GDAL (Geospatial Data Abstraction Library), and PEST (John, 2010) model was used in the auto-calibration process. The modeling system (MW-GRM) was developed as MapWindow plug-in. System environment was Window 7 64bit. MapWindow GIS ActiveX control and libraries were used to manipulate geographic data and set up GRM input parameters. ESRI ASCII and GeoTIFF raster data formats, supported by MapWindow and GDAL, were applied and shape file (ESRI, 1997) was used in vector data processing. GDAL is a library for translating vector and raster geospatial data. In this study, GDAL execution files were used to develop pre and post processing tools. The tools include data format conversion, spatial interpolation, clipping, and resampling functions for one or more raster layers. PEST is a model-independent parameter estimation software. Parameter estimation and uncertainty analysis can be carried out using PEST for model calibration and sensitive analysis. PEST is developed as an open source software, and single and parallel execution files are provided. This study developed GRM uncertainty analysis GUI as an interface system of GRM and PEST. GRM model had been a DLL type library including APIs to support developing another application. But PEST needs a model execution file, which can run in console execution window without user intervention. This study developed GRM execution file (GRMMP.exe) running in console window. It can simulate runoff using GRM project file, and no user intervention is allowed after the simulation has started. GRM uncertainty analysis GUI makes PEST input files (pcf, pif, ptf, rmf, etc.) by setting GRM parameters, observed data, PEST parameters, and selecting single or parallel PEST and PEST run automatically using GRMMP.exe file. In this study, all the functions necessary to develop GRM modeling system and pre and post processing tools could be implemented by using open source software. And MapWindow plug-in of GRM model can simulate runoff in open GIS environment including automatic model calibration using PEST. The study results can contribute to the wide spread of physically based rainfall-runoff modeling. And this study can present useful information in developing distributed runoff modeling system using open source software.

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name: MapWindow Plug-in of GRM Model Using Open Source Software


uk: Комп'ютерні науки

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name: Keynote speech - Geospatial Information for the UN Secretaiat and Peace Operations


uk: Комп'ютерні науки

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name: Improving public health delivery in northern Nigeria using open source technologies


uk: Комп'ютерні науки

description: With 43,000 square kilometers of rice producing farm lands, the Philippines is considered as the largest rice importer in the world according to World Rice Statistics (2008). The increasing demand for imported rice in the country has been largely attributed to topography, underutilized farm infrastructures, typhoons and rapid population growth. Given the need to supply a stable food source to Filipinos, the Department of Agriculture (DA) has been studying the feasibility of the mass production of Coix lacryma-jobi L or Adlai, a traditional food source abundantly grown by indiginous people in the country for centuries. In contrast to rice, Adlai is naturally resilient to pests, diseases, droughts and floods, and does not need irrigation. In its study, the Department of Agriculture wanted to evaluate the adaptability of Adlai in different parts of the country for it to become a complementary staple food for Filipinos. The results of the tests in four regions (II, IV, V, and IX) have been very promising. The study found that Adlai does not need fertilizers and insecticides, it can survive with minimal rainfall, and it can be planted in upland areas. To complement the current work of the Department of Agriculture, this study aims to map the agro-edaphic zones or the areas that are suitable for the cultivation of Adlai. It will apply free open source software (QGIS) and open data sources (ASTER GDEM, PhilGIS, and DA). The selected set of variables (slope, elevation, and soil order) will be cross tabulated, and the result will represent generalized classes of associated soil orders in combination with both elevation and slope. The result of this study could then be utilized by the Department of Agriculture to determine areas in Region 11, excluding the arable land for rice, that are suitable for the cultivation of Adlai. Sources: Japan-Space Systems, Phil GIS, Manila Observatory, Environmental Science for Social Change, Department of Agriculture, Bureau of Agricultural Research.

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name: Utilizing Free Open Source Software and Open Data in the Crop Suitability Analysis of Adlai for Climate Change Adaptation


uk: Комп'ютерні науки

description: ProtectedPlanet.net is the online interface for the World Database on Protected Areas (WDPA), a joint project of IUCN and UNEP, and the most comprehensive global database on terrestrial and marine protected areas. The WDPA is released every month and consists of a point and polygon dataset of over 210 000 entries. Over 91% of this data is in polygon format and the remaining 8% are points that can have an area as attribute. Displaying protected area coverage statistics is one of the main features of this website. It is very important for the users to know what percentage of the territory is covered by protected areas in a given country, region or the entire planet. Previously, these statistics were calculated manually and every year a team spends several days calculating them for a report using ESRI Software. We had a great challenge this time: Can we automatically calculate the statistics every month for all the protected areas and countries in the entire planet? In this case time matters: if we want to calculate statistics every month, it can't take 2 or 3 days of processing. To work through this, we chose a full open source solution with PostGIS to do all the back end tasks that we need to calculate statistics. We were able to limit all this to 6 hours and we can now run automatically every month keeping coverage statistics up to date.

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name: Protecting the Planet with Postgis: How we are calculating complex protected area coverage statistics for all countries in the world.


uk: Комп'ютерні науки

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name: Open Source and Open Data for Smart Cities in Developing Countries: African Perspective


uk: Комп'ютерні науки

description: Early stages of urban developments such as housing construction, new town development and urban regeneration are performed through the spatial analysis using the topographic map, cadastral map, zoning map and other various kind of thematic maps for the proposed site analysis, feasibility analysis and evaluation of urban development alternatives. For these analyses, urban developers traditionally have used commercial software like ArcGIS to analyze these kinds of projects. And giant Korean public urban developer like Korea land and Housing Corporation (LH) has support these projects based on the in-house enterprise GIS system. But developing countries facing rapid urbanization near the peripheral areas of metropolitan region cannot handle such problems only using the commercial software. They need knowledge and experience about the urban development rather than complicated software based analysis techniques or large investments on the enterprise GIS system. In this sense, FOSS4G (Free Open Source Software for Geospatial) are very useful tools in that they are easy to learn, use and also relatively cheap to maintain. LH has accumulated a lot of urban development cases and wants to store this knowledge to FOSS4G based spatial analysis as a rule base. By doing so, it can manage the fast growing cities sustainable. In this presentation, we will show some conceived urban development project faced by the rapid urbanizing cities and suggest FOSS4G based spatial analysis method using the FOSS4G like QGIS plug-in.

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name: Saving Rapid Urbanizing Cities using the FOSS4G Based Spatial Analysis for Urban Development


uk: Комп'ютерні науки

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name: Future direction for using FOSS4G: Case of Managing Early warning Systems for Monitoring Natural Hazards in El Salvador


FOSS4G Seoul 2015 - Welcome Address 1

uk: Комп'ютерні науки

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uk: Комп'ютерні науки

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name: Welcome Address 2 FOSS4G IN Korea:Challanges & Strategies


Point Clouds in a Browser with WebGL

uk: Комп'ютерні науки

description: Potree is an open source project that implements point cloud rendering capability in a browser. It is a WebGL based point cloud viewer for large datasets. Thanks to WebGL, it runs in all major browsers without plugins. This presentation will give an overview over the current state of point cloud rendering with WebGL, about the difficulties and challenges. Laser data is expected to play an increasing role in the next years with falling prices for previously very expensive hardware, the development of autonomous vehicles and the popularity of drones. Powerful hardware and WebGL will open up a wide range of innovative browser-based web services in the near future.

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PostgreSQL, batteries included

uk: Комп'ютерні науки

description: This presentations presents some advanced features of PostgreSQL involving third party tools integrated directly into the database, and allowing for more features, especially for spatial data management. PostgreSQL is a very versatile RDBMS, and has a lot of core features. What is less known is that it can be used as a data platform, integrating external modules to further expand the capabilities of data management. First of all, some contrib PostgreSQL modules of interest are shown, useful for geocoding : pg_trgm allows for trigram indexing and search, allowing string comparison with a tolerance to typo errors fuzzystrmatch also allows fuzzy string comparison directly inside the database using soundex algorithms FTS, aka Full Text Search, is a powerful text indexing and search mechanism right inside PostgreSQL Then, we show the Foreign Data Wrapper tools, which allow access to and from remote data. oracle_fdw now supports Oracle Spatial and PostGIS natively, and let you exchange data in heterogeneous systems ogr_fdw is a foreign data wrapper dealing with OGR data sources : access all these vector data files directly from your spatial database Foreign Data Wrapper really makes PostgreSQL a data platform, enabling easy import and export of data, migration plan, and transparent heterogeneous data systems. Last, we present some advanced data processing capabilities using PostgreSQL development languages. Pl/R lets you leverage the power of the R statistics framework to do advanced analysis of your spatial data Pl/Py put all Python modules at your disposal, with unlimited power for data processing, communication and interaction with external systems All these tools, usually less known than PostgreSQL and PostGIS bulk features, further improve the data platform, with high connectivity and interoperability, and almost unlimited features in terms of data processing. PostgreSQL, PostGIS, and -free- batteries included !

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New QGIS functions for power users

uk: Комп'ютерні науки

description: QGIS has seen a large amount of new functions and improvements during the last few years. And there is still more to come. This presentation shows the most recent changes and new functionalities in the codebase after version 2.8, both from a users and from a technical point of view: Curved geometries have long been a missed feature in FOSSGIS Desktop solutions, with such geometries usually ending up being segmented on import. A rewrite of the QGIS Geometry core now allows for native support of a number of curved geometry types, such as CircularString, CompoundCurve, CurvePolygon, etc., in addition to the traditionally supported Point, Line and Polygon geometries. As part of the redesign, proper support for M and Z coordinate values was also implemented for all supported types. Geometry errors can easily sneak into large datasets, either because of inexact data acquistion, but also due to gradual loss of precision when importing, exporting and converting the datasets to different formats. Manually detecting and fixing such issues can be very time consuming. To assist users confronted with such problems, the 'Geometry checker' has been developed. It provides the functionality to test a dataset for geometry and topology issues (such as duplicate nodes, overlaps, gaps, etc), presenting a list of detected faults. For each error type, the plugin offers one more more methods to automatically fix the issue. A third new function in the geometry domain is the snapper plugin. It allows to automatically align the boundaries of a layer to a background layer (e.g. align the parcel boundaries with a road background layer).

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uk: Комп'ютерні науки

description: An introduction to the PDAL pointcloud library, how to accomplish basic things, push data to plas,io, a webgl rendered and an introduction to GreyHound, the PDAL API. PDAL, GreyHound provide all the basic tools for pointcloud data translation and manipulation and hooks for various other projects to use the PDAL read/write engine (eg, PCL, Points2Grid)

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name: PDAL: the Pointcloud Data Abstraction Library


uk: Комп'ютерні науки

description: In order to evaluate consequences of deposited radioactive cesium (and other radioactive substances) in natural systems a GIS based model called Stratos has been developed. This model incorporates information regarding deposition, transfer to vegetation and animals, intervention levels and geographical distribution of animals. The presentation will use a case study which describes the possible environmental consequences for Norway due to a hypothetical accident at the Sellafield complex in the UK. The scenario considered involves an explosion and fire at the B215 facility resulting in a 1 % release of the total HAL 1 inventory of radioactive waste with a subsequent air transport and deposition in Norway. Air transport modeling is based on real meteorological data from October 2008 with wind direction towards Norway and heavy precipitation. This weather is considered to be quite representative as typical seasonal weather. Based on this weather scenario, the estimated fallout in Norway will be ~17 PBq of cesium-137 which is 7 times higher than fallout after the Chernobyl accident. The modeled radioactive contamination is linked with data on transfer to the food chain and statistics on production and hunting to assess the consequences for foodstuffs. The investigation has been limited to the terrestrial environment, focusing on wild berries, fungi, and animals grazing unimproved pastures (i.e. various types of game, reindeer, sheep and goats). The results of a model-run are maps for the chosen products, with categorized colors - giving the degree of consequences. A linked text file gives relevant numeric values for each color. The Stratos model is written in python which calls GRASS-functions and uses as gui for model setup. The model has been used for two reports at the Norwegian Radiation Protection Authority, and is currently being used and developed further in the "Centre for Environmental Radioactivity" (CERAD), cerad.nmbu.no.

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name: GIS-modelling of long-term consequences after a nuclear accident.

name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: Culture heritage institutions are hosting digital historic map collection and the collections more and more allow spatial-temporal searching and georeferencing of its maps. At the Saxon State and University Library Dresden (SLUB) this lead to the development of the Virtual Map Forum 2.0, which is a spatial data infrastructure (SDI) for searching, visualization and georeferencing plane survey sheets. This SDI mainly relies on OpenLayers 3, Mapserver, GeoNetwork and GDAL. Beside that, tools for automatic georeferencing based on image recognition software have been developed and compared with the use of crowdsourcing tools for georeferencing. A further topic, on which culture heritage institutions are focusing is enrichment, transformation and merging of existing heterogeneous metadata sets. The goal is to allow better searching and utilization approaches for digital and analog objects. In the SLUB this lead to the development of the open source ETL-tool d:swarm, which supports the transformation and enrichment of metadata records. This opens possibilities for adding spatial identifier to large amounts of library objects, like pictures, newspaper articles or books and through this allows for a greater consideration of the spatial dimension in discovery systems. Another big topic is long term preservation, which becomes even more important with the growing number of digital native publications and datasets. Libraries and archives as experts of long term preservation and spatial data infrastructure provider, which are confronted with tasks and questions regarding the preservation of content. They therefor can benefit from an exchange of knowledge and work between each other. The presentation will give an insight into the world of culture heritage institutions. It will present topics, where FOSS4G and libraries can benefit from each other. Therefore it discusses different issues from within the SLUB where FOSS4G is used or could be used and spatial issues are affected. The main topics are spatial-temporal searching and visualization, georeferencing, metadata enrichment and long-term preservation.

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name: A spatial view in the culture heritage domain


Mapping in GeoServer with SLD and CSS

uk: Комп'ютерні науки

description: Various software can style maps and generate a proper SLD document for OGC compliant WMS like GeoServer to use. However, in most occasions, the styling allowed by the graphical tools is pretty limited and not good enough to achieve good looking, readable and efficient cartographic output. For those that like to write their own styles CSS also represents a nice alternatives thanks to its compact-ness and expressiveness. Several topics will be covered, providing examples in both SLD and CSS for each, including: mastering multi-scale styling, using GeoServer extensions to build common hatch patterns, line styling beyond the basics, such as cased lines, controlling symbols along a line and the way they repeat, leveraging TTF symbol fonts and SVGs to generate good looking point thematic maps, using the full power of GeoServer label lay-outing tools to build pleasant, informative maps on both point, polygon and line layers, including adding road plates around labels, leverage the labelling subsystem conflict resolution engine to avoid overlaps in stand alone point symbology, blending charts into a map, dynamically transform data during rendering to get more explicative maps without the need to pre-process a large amount of views. The presentation aims to provide the attendees with enough information to master SLD/CSS documents and most of GeoServer extensions to generate appealing, informative, readable maps that can be quickly rendered on screen.

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uk: Комп'ютерні науки

description: The development and the usage of National Land Survey of Finland's dynamic and high performance map production system is described in this presentation. The system is currently in use and serves map images both to customers and to NLSFI production systems. The data in the map production system are open data and being updated on a weekly basis. When the data get updated, a RSS-feed is generated. Based on the feed, the map products are updated. Data is stored, updated and replicated in PostGIS. Map pictures are rendered in GeoServer. The visualization of the maps is based on SLD-stylesheets. SLD-stylesheets enable the same data to be visualized in several different ways. GeoServer in conjunction with SLD-stylesheets offers a Web Map Service (WMS). Map images are delivered via a high performance MapCache Web Map Tile Service (WMTS) and as image files via NLSFI download service. The system is designed to be expandable and is currently being further developed to enable the pro-duction of on-demand printed maps.

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name: Case study: A full-fledged cutting-edge FOSS4G map production system