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19:46 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Using OSGeo Live In MSc Teaching

Big Data in the Earth sciences, the Tera- to Exabyte archives, mostly are made up from coverage data whereby the term "coverage", according to ISO and OGC, is defined as the digital representation of some space-time varying phenomenon. Common examples include 1-D sensor timeseries, 2-D remote sensing imagery, 3D x/y/t image timeseries and x/y/z geology data, and 4-D x/y/z/t atmosphere and ocean data. Analytics on such data requires on-demand processing of sometimes significant complexity, such as getting the Fourier transform of satellite images. As network bandwidth limits prohibit transfer of such Big Data it is indispensable to devise protocols allowing clients to task flexible and fast processing on the server. The EarthServer initiative, funded by EU FP7 eInfrastructures, unites 11 partners from computer and earth sciences to establish Big Earth Data Analytics. One key ingredient is flexibility for users to ask what they want, not impeded and complicated by system internals. The EarthServer answer to this is to use high-level query languages; these have proven tremendously successful on tabular and XML data, and we extend them with a central geo data structure, multi-dimensional arrays. A second key ingredient is scalability. Without any doubt, scalability ultimately can only be achieved through parallelization. In the past, parallelizing code has been done at compile time and usually with manual intervention. The EarthServer approach is to perform a semantic-based dynamic distribution of queries fragments based on networks optimization and further criteria. The EarthServer platform is comprised by rasdaman, an Array DBMS enabling efficient storage and retrieval of any-size, any-type multi-dimensional raster data. In the project, rasdaman is being extended with several functionality and scalability features, including: support for irregular grids and general meshes; in-situ retrieval (evaluation of database queries on existing archive structures, avoiding data import and, hence, duplication); the aforementioned distributed query processing. Additionally, Web clients for multi-dimensional data visualization are being established. Client/server interfaces are strictly based on OGC and W3C standards, in particular the Web Coverage Processing Service (WCPS) which defines a high-level raster query language. We present the EarthServer project with its vision and approaches, relate it to the current state of standardization, and demonstrate it by way of large-scale data centers and their services using rasdaman.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:58 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Cartaro - The Geospatial CMS

Cartaro is a new web mapping platform that makes the power of some of the best open source geospatial components available in a content management system (CMS). Cartaro allows to set-up and run small websites or complex web applications with maps and geodata. It is also suitable for geoportals and spatial data infrastructures whenever there is the need to get everything up and running without much individual programming. The geospatial software stack used in Cartaro consists of PostGIS, GeoServer, GeoWebCache and OpenLayers. The whole stack is managed from within the CMS Drupal. The geospatial components bring professional aspects of geodata management into the CMS. This is namely the ability to persist data as true geometries, thus allowing for complex and fast queries and analyses. It does also mean supporting a whole range of data formats and the most relevant OGC standards. For the latter Cartaro can extend the handling of user roles and permissions, which already exists in Drupal, to define fully granular read and write permissions for the web services, too. In the presentation we will first explain our basic motivation behind Cartaro: that is bringing geospatial functionality to the huge community of CMS developers and users. This community, which is of course much larger than the classical FOSS4G community, has a great potential to make more and better use of geodata than it was possible with most existing tools. We will then demonstrate how far the integration with the CMS reaches and present the Drupal user interface that allows to configure most features of Cartaro. We will show how to create, edit and map geospatial content with Cartaro and we will demonstrate the publication of this content as an OGC web service. We will also go into some details concerning the architecture of Cartaro and explain how we tackled specific problems. A glimpse of the some use cases will demonstrate the real potential of Cartaro. It will also show how the focus and functionality of a Cartaro based application can be extended with the installation of any of the Drupal modules that exist for almost every task one could imagine. The presentation will close with the future perspectives for Cartaro. From a technical point of view this includes the roadmap for the next months. But it also includes a discussion of our ideas about Cartaro's role as self-supporting bridge between the geo and not-so-geo world of open source software.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:01 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

LIDAR In PostgreSQL With Pointcloud

How do you store massive point cloud data sets in a database for easy access, filtering and analysis? The new PointCloud extension for PostgreSQL allows LIDAR data to be loaded, filtered by spatial and attribute values, and analyzed via integration with PostGIS. We'll discuss the extension implementation, basics of loading data with PDAL, and how to use PointCloud with PostGIS to do on­the­fly LIDAR analysis inside the database.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
49:15 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

FOSS4G13 Keynote QGIS 2.0

  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:30 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

GraphGIS, Bringing Spatial Functionalities To NoSQL Graph Databases

Driven by the major players in of the Web like Google, Facebook, Twitter, NoSQL databases quickly gained real legitimacy in handling important data volumetry. With a first concept of key-value, NoSQL databases have quickly evolve to meet a recurring relationships between entities or documents. Graph / document paradigm provides flexibility that facilitates the representation of the real world. Beyond the representation of information of social networks, this data model fits very well to the problem of Geo Information, its variety of data models and the interconnections between them. The emergence of cloud computing and the needs driven by the Semantic Web have led publishers of geospatial solutions to consider other ways than those currently used to store and process GIS information. It is in this perspective that Geomatys has developed GraphGIS, a spatial cartridge for OrientDB, the Graph oriented NoSQL database. This solution provides support of geographic Vector, Raster and Sensor data, in multiple dimensions and their associated metadata.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:07 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

FOSS4G In Large-scale Projects

The presentation covers experiences and challenges encountered during the implementation of the Kosovo Spatial Data Infrastructure. The SDI consists of GeoPortal, Cadaster and Land Information System and the Address Register, all implemented on the FOSS stack and interconnected via OGC services.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:47 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

GIS Is Not Dead, It's Coming For You And It's Been Drinking JavaScript

This talk will discuss several super kick-ass ways that JavaScript and the web have re-shaped GIS and are changing how we visualize, analyze and share geospatial data with each other and the world. GIS is dead? No, it’s not, and it’s coming to find you and spatially kick your ass with a big bag of JavaScript. The world changes fast (hello, Internet). Yet, our industry (map making in one form or another) is stuck, and has generally shown itself to be slow to react to new ideas and paradigms that grow rapidly in other spaces. But there is still hope! GIS is coming back, and it’s being re-tooled with lots of shiny new software and geo-weapons. It’s going to make an assault on all of our previous notions of its old self. Of course this new and shiny GIS resembles its former self in many ways, it's also full many new ideas about how we experience maps and data on the web. As we witness a massive resurgence in JavaScript (hello D3 & node.js), and more emphasis placed on the web in general, we see that there are actually still large holes that should be filled the geo-spatial stack. New waves of JavaScript developers have, and will continue to fill these gaps. This talk will discuss several super kick-ass ways that JavaScript and the web have re-shaped GIS and are changing how we visualize, analyze and share geospatial data with each other and the world.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:37 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Machine Learning For Remote Sensing : Orfeo ToolBox Meets OpenCV

Orfeo ToolBox is an open-source library developed by CNES in the frame of the Orfeo program since 2006, which aimed at preparing institutional and scientific users to the use of the Very High Resolution optical imagery delivered by the Pleiades satellites. It is written in C++ on top of ITK, a medical imagery toolkit, and relies on many other open-source libraries such as GDAL or OSSIM. The OTB aims at providing generic means of pre-processing and information extraction from optical satellites imagery. In this talk, we will focus on recent advances in the machine learning functionality allowing to use the full extent of OpenCV algorithms. Historically, supervised classification of satellite images with OTB mainly relies on libSVM. The Orfeo ToolBox provides tools to train the SVM algorithm from images and raster or vector training areas, to use a trained SVM algorithm to classify satellite images of arbitrary size in a multithreaded way, and to estimate the accuracy of the classification. The SVM algorithm has also been used for other applications such as change detection or object detection. But even if it is one of the most used function of the OTB, the supervised classification function did not offer a single alternative to the SVM algorithm. However, the open-source world offers plenty of implementations of state-of-the-art machine learning algorithms. For instance OpenCV, a computer vision C++ library distributed under the BSD licence, includes a statistical machine learning module that contains no less than height different algorithms (including SVM). We therefore created an API to represent a generic machine learning algorithm. This API can then be specialized to encapsulate a given algorithm implementation. The machine learning algorithm API assumes very few properties for such algorithms. A method has to be specialized to train the algorithm from a samples vector and a set of target labels or values, and another to predict labels or values from a samples vector. Thanks to templating, these methods handle both classification and regression. Two other methods are in charge of saving and loading back the parameters from training. File format for saving is left to the underlying implementation, and the load method is expected to return a success flag. This success flag is used in a factory pattern, designed to be able to seamlessly instantiate the appropriate machine learning algorithm specialization upon file reading. It is therefore not necessary to know which algorithms the trained parameters files refer to. This new set of classes has been embedded into a new OTB application. Its purpose is to train one of the machine learning algorithm from a set of images and GIS file describing training areas, and output the trained parameters file. Another application is in charge of reading back this file and applying the classification algorithm to a given image. With these two tools, it is very easy to train different algorithms against the same dataset, evaluate them with the help of another application which can compute confusion matrix and classification performances measurement so as to choose one or several best algorithm along with their parameters. The resulting classification maps could then be combined into a more robust one using yet another OTB application, using classes majority voting or Dempster-Shafer combination. Our perspectives for using and improving this new API are manyfold. First, we would like to investigate further the use of the regression mode. We also would like to investigate the performances of the new machine learning algorithms for other tasks achievable with OTB, such as object detection for instance. Last, we would like to evolve the API so as to export any confidence or quality indices an algorithm can output regarding its predictions. This would open the way to the implementation of new active learning tools.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:35 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

MapServer Project Status Report - Meet The Developers!

This session starts with a status report of the MapServer project, followed by an open question/answer session to provide a opportunity for users to interact with members of the MapServer project team. We will go over the main features and enhancements introduced in MapServer 6.2 and 6.4, including the addition of the new TinyOWS and MapCache components, the current and future direction of the project, and finally discuss contribution opportunities for interested developers and users. Don’t miss this chance to meet and chat face-to-face with the members of the MapServer project team!
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:35 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

MapCache: The Fast Tiling Server From The MapServer Project

MapCache is a new member in the family of tile caching servers. It aims to be simple to install and configure (no need for the intermediate glue such as mod-python, mod-wsgi or fastcgi), to be (very) fast (written in C and running as a native module under apache or nginx, or as a standalone fastcgi instance ), and to be capable (services WMTS, googlemaps, virtualearth, KML, TMS, WMS). When acting as a WMS server, it will also respond to untiled requests, by merging its cached tiles vertically (multiple layers) and/or horizontally. Multiple cache backends are included, allowing tiles to be stored and retrieved from file based databases (sqlite, mbtiles, berkeley-db), memcached instances, or even directly from tiled TIFF files. Support of dimensions allows storing multiple versions of a tileset, and time based requests can be dynamically served by interpreting and reassembling entries matching the requested time interval. MapCache can also be used to transparently speedup existing WMS instances, by intercepting getmap requests that can be served by tiles, and proxying all other requests to the original WMS server. Along with an overview of MapCache's functionalities, this presentation will also address real-world usecases and recommended configurations.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:01 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Past, Present, & Future of MapProxy

More than three years ago MapProxy started as a small tile cache with the ability to serve regular WMS clients. MapProxy grew from that to a powerful and flexible proxy for maps. Features like the security API, the ability to reproject tiles, support for coverages from Shapefiles or PostGIS and the various tools are just a few things that make MapProxy to stand out. MapProxy is used in countless projects -- by federal or state agencies and institutions, by universities, students and hobbyists, by small, national and international companies -- all around the world. It is used to combine multiple WMS services to one, make WMS servers available in tiled clients or to restict access to georaphic boundaries. This presentation will show you the most important features that were added to MapProxy in the last years. All features will be explained with practical use cases. Topics: - Cascading WMS: combine multiple heterogeneous WMS services to one, with coverages and unified FeatureInfo - Tiling: create Google Maps/OpenStreetMap compatible tile services from WMS services that do not support the web mercator projection - Tiling: reproject tiles from web mercator to a local projection - Security: give users access to single layers, restricted to user-dependent polygons - Render server: directly integrate MapServer or Mapnik into MapProxy - Tools: calculate scales, estimate the number of tiles, read capabilities, re-seed areas, ... This presentation will also be about the future of MapProxy and the road to version 2.0.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:04 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

A New Dimension To PostGIS : 3D

Talking about 3D used to sound cool. Used to. But for real GIS use, we really need more than just playing with a globe. 3D in GIS becomes cool as soon as we have the ability to deal with full 3D spatial analysis. Just as we already have in 2D, we need functions like intersection, buffer, triangulation and more ... The GEOS library provides us 2D topological processing for years. The CGAL library could now also provide us some interesting additional 3D topological functions. As CGAL is not fully designed for GIS data models, we provide a library inbetween called SFCGAL, in charge of providing a Simple Feature API on top of CGAL. PostGIS 2.1 now allows to link PostGIS and (SF)CGAL, and already provides several exciting 3D functions (and more and more to come). This thrilling talk about PostGIS 3D will therefore focus on : - What kind of project / application needs 3D GIS analysis ? - What can we do right now with PostGIS 2.1 and (SF)CGAL ? - What we will be able to do soon with PostGIS 3D ? - Some tools used to view and manipulate 3D data (QGIS / WebGL based)
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:23 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

A New Zealand Case Study: Open Source, Open Standards, Open Data

  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:23 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

An Open Source Analysis Toolbox For Street Network Comparison

This paper presents a novel open source toolbox for street network comparison based on the Sextante geoprocessing framework for the open source Geographic Information System Quantum GIS (QGIS). In the spirit of open science, the tool- box enables researchers worldwide to assess the quality of street networks such as OpenStreetMap (OSM) by calculating key performance indicators commonly used in street network comparison studies. Additionally, we suggest two new perfor- mance indicators for turn restriction and one-way street comparisons specifically aimed at testing street network quality for routing. We demonstrate the use of this toolbox by comparing OSM and the official Austrian reference graph “Graph Integration Platform” (GIP) in the greater Vienna region.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:32 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Getting The Best Performance For GeoJSON Map Visualizations: PostGIS Vs CouchDB Backend

In order to deliver rich user experience to user, features (attribute data and geometries) have to be sent to the client for mouse-over visual effects, synchronization between charts, tables and maps, and on-the-fly classifications. GeoJSON is one of the most popular encodings for the transfer of features for client-side map visualization. The performance of client visualizations depends on a number of factors: message size, client memory allocation, bandwidth, and the speed of the database back-end amongst the main ones. Large GeoJSON-encoded datasets can substantially slow down loading and stylization times, and also crash the browser when too many geometries are requested. A combination of techniques can be used to reduce the size of the data (polygon generalization, compression, etc). The choice of an open-source DBMS for geo-spatial applications used to be easy: PostGIS is powerful, well-supported, robust and fast RDBMS ? On the other hand, unstructured data, such as (Geo)JSON, may be better served by document-oriented DBMS such as Apache CouchDB. The performance of PostGIS and CouchDB in producing GeoJSON polygons with different combination of factors that are known to affect performance was tested: compression of GeoJSON (zip) to reduce transmission times, different levels of geometry generalization (reducing the number of vertices in transferred geometries), precision reduction (the reduction of numbers of decimal digits encoding coordinates), and the use of a topological JSON encoding of geometries (TopoJSON) to avoid redundancy of edges transferred. We present the results of a benchmark exercise testing the performance of an OpenLayers interface backed by a persistence layer implemented using PostGIS and CouchD. Test data were collected using an automated test application based on Selenium, which allowed to gather repeated observations for every combination of factors and build statistical models of performance. These statistical models help to pick the best combination of techniques and DBMS, and to gauge the relative contribution of every technique to the overall performance.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
36:34 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

GDAL/OGR Project Status

An overview of the capabilities of the GDAL/OGR (Geospatial Data Abstraction Library) project will be covered, followed by a focus on new developments in the last two years and future directions for the project.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:34 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

GeoCat Bridge - Publish From ArcGIS Desktop Into FOSS4G

GeoCat Bridge helps to bridge the gap between proprietary and open source solutions. The goal of this product is to provide a solution that makes it extremely easy for users to publish their data on a GeoNetwork, GeoServer and/or MapServer based server solution. The tool converts the ArcMap symbology to symbology optimized for GeoServer and MapServer. Data can be loaded to the server on the file system or straight into PostGIS. It manages metadata at the source and publishes it as clean ISO19139 metadata. This extension creates a bridge where both proprietary, open source solution providers and open standards supporters are winners.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:39 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

OpenLayers 3: Under The Hood

OpenLayers 3 is the next generation of web mapping. A radical new architecture and the use of cutting edge JavaScript techniques, libraries, and tools enables a full suite of previously unimaginable functionality while maintaining a compact, high performance library. In this talk we'll show you how to use this functionality in your applications, and peek under the hood to see how OpenLayers 3's architecture makes it possible. We'll include: Virtual globe (Cesium) integration: a carefully designed camera and data source abstractions permit close integration with the virtual globes. Switch between 2D and 3D views of the same data, or display synchronized 2D and 3D views side by side. Multiple rendering back-ends: a pluggable rendering architecture supports multiple renderers for maximum performance and portability. A Canvas 2D renderer provides fast, reliable rendering on current devices, a DOM renderer provides fall-back capabilities for older browsers, and a WebGL renderer opens the door to the next generation of performance for the most demanding applications. Rich data sources: generic and powerful core data representations of tiled, single image, and vector data make it easy to add support for a wide range of geospatial data sources. Smooth and flexible interaction and animation: an optimized rendering path ensures that interaction remains smooth at all times. Compact library size: use of the Closure suite of tools creates keeps the build size small while keeping the source code readable.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:46 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

PyModis: The Python Library For MODIS Data

pyModis library is a Python library to work with MODIS sensor satellite data. It was originally developed as an interface to download MODIS data from the NASA FTP server but it has grown into a powerful library which also offers further operations on the data. pyModis has several features: - it supports downloading of large numbers of original MODIS HDF/XML files. This is ideal for the automated continuous updating of a local archive through a cron job; - it can parse the XML file to obtain metadata information about the related HDF files; - it can convert a HDF MODIS file to GEOTIFF format; - it can create a mosaic of several MODIS tiles to obtain large coverages including the creation of the merged XML metadata file with information of all tiles used in this mosaic. For format conversion and mosaicing the MODIS Reprojection Tool (MRT) is required, because at time MRT is the best free and open source software to manage original MODIS data and convert them into a different projection system or format while taking care of the special features of the original Sinusoidal projection. pyModis is composed of three modules: - downmodis.py contains a class downModis used to download MODIS data, it requires a “password” for the FTP transfer (usually your email address) and a path where to store the downloaded data. Other parameters are optional, such as the date range or the MODIS product to be downloaded; - parsemodis.py contains two classes, parseModis that parses metadata of a HDF file returning all useful information. It has also the capability to create a configuration file for MRT; the other class is parseModisMulti, it reads metadata of several HDF files, hence it is used to create the XML file for a mosaic. This class is also able to return the bounding box of all the tiles; - convertmodis.py is the module to do some simple operations on the original HDF files such as reprojection. It contains three classes and all of them require the MRT software to be installed. convertModis converts HDF files to GeoTIFF format; createMosaic creates a mosaic from several MODIS HDF files into a single HDF file; and processMosaic converts the raw data of MODIS using swath2grid from MRT-Swath. In pyModis the user can also find five command line tools to easily work with pyModis library: - modis download.py is the tool to download data, - modis parse.py reads metadata of a HDF file, prints information or writes them to a file, - modis multiparse.py reads metadata of several HDF files and prints bounding box or writes the MODIS XML metadata for a mosaic, - modis mosaic.py creates a HDF mosaic from several HDF files, - modis convert.py converts MODIS data to GeoTIFF or other formats and as well as different projection reference systems. During the presentation all these topics will be discussed and illustrated along with more information about the future of pyModis and the tools for the community (how to contribute or how to report a bug or an enhancement).
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
30:25 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

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

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 raster mosaic and pyramids will be introduced and analyzed, as well as the latest developments for the exploitation of GDAL raster sources. Extensive details will be provided on the latest updates for the management of multidimensional raster data used in the Remote Sensing and MetOc fields. The presentation will also introduce and provide updates on the JAITools and ImageIO-Ext projects. JAITools provides a number of new raster data analysis operators, including powerful and fast raster algebra support. 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.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
31:57 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

The Geodata Agency's Data Distribution Platform

Digital distribution of geodata makes it possible to improve the efficiency and accuracy of our professional users' data collections on an ongoing basis. The Agency's Digital Map Supply is a national infrastructure to distribute geospatial data to all kind of users. Subscribers to the Digital Map Supply receive their geodata via web services, eliminating shipping time and resources. All services are based on OGC standards e.g. WFS, WMTS, WMS and WCS. Furthermore the Digital Map Supply exposes a range of REST and SOAP services for geocoding, address searches etc. As part of the common public-sector eGOVERNMENT strategy 2011-2015, the government and Local Government Denmark have agreed on a basic data programme. The programme contains a number of specific improvements and initiatives in public-sector basic data, which will underpin greater efficiency and growth. The Digital Map Supply is the infrastructure that is used to supply the geospatial data to public agencies, end users, private companies etc. Furthermore the Digital Map Supply also supports a number of INSPIRE compliant services that The Geodata Agency is responsible of - such as a cadastral WFS. The presentation will show the architecture behind the Digital Map Supply including the number of open source components such as PostGIS, MapServer, GeoWebCache and GeoServer. The Digital Map Supply has been in service for more than ten years and the architecture has evolved during that time moving from commercial software to open source software. Moreover the presentation will outline the future of the Digital Map Supply including the migration to a new, common National distribution platform for all common public-sector data.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Taming Rich GML With stETL, A Lightweight Python Framework For Geospatial ETL

Data conversion combined with model and coordinate transformation from a source to a target datastore (files, databases) is a recurring task in almost every geospatial project. This proces is often refered to as ETL (Extract Transform Load). Source and/or target geo-data formats are increasingly encoded as GML (Geography Markup Language), either as flat records, so called Simple Features, but more and more using domain-specific, object oriented OGC/ISO GML Application Schema's. GML Application Schema's are for example heavily used within the INSPIRE Data Harmonization effort in Europe. Many National Mapping and Cadastral Agencies (NMCAs) use GML-encoded datasets as their bulk format for download and exchange and via Web Feature Services (WFSs).
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:06 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

The Met Office Open Data Journey

In November 2011, the UK Met Office launched DataPoint: an Application Programming Interface (API) for the release of its Open Data, in support of the Government’s desire for increased transparency and economic growth. Starting with just a handful of users, the service has grown in data, functionality and usage. This year the we are making further developments, responding to user feedback and ensuring INSPIRE compliance. This presentation will describe the journey so far and a forecast for the future.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

The RAGLD (Rapid Assembly Of Geo-centred Linked Data) Framework

As more linked data and open data emerges a need was identified to meet a rising demand for a suite of application developers’ tools to make it easier to bring together, use and exploit these diverse data sets. RAGLD aims to create a set of tools, components and services to make it easier to develop linked Data applications. This talk will describe the RAGLD framework and examples will be given on how it can be used.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:24 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

The Right Approach: How Toscana Is Migrating To GFOSS

The Tuscany Regional Administration had a rather usual proprietary GIS infrastructure (ArcIMS, Oracle, ArcGIS). They started migrating to Open Source GIS with an integrated approach, both on the sever side (PostGIS, MapServer, Geonetworks) and on the client side (Quantum GIS, GRASS), providing also training to hundreds of their technicians. What makes this experience particularly interesting is the fact that they worked form the onset in very close contact with the community, requiring that the code developed for them was generalized, and pushed to main source code. This seemed more cumbersome at first, having to coordinate with several other developers, and not having functions closely fit to their specific needs, but the superiority of this approach become quickly evident, as several functions were further improved and maintained by third parties. Among the most notable achievements were much improved topology support in PostGIS, SLD support in QGIS, and much more. We advise other administrations and enterprises to avoid the temptation of working in isolation, and simply using FOSS4G, maybe tailoring it locally, without contributing back, as this approach is short-lived, and less successful in the long term.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:26 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Tiles And More - Deegree Freshly Implements WMTS

In 2013, a new service type joined the deegree family - the deegree Web Map Tile Service. This deegree service implements the OGC WMTS 1.0.0 specification and is going to be the OGC reference implementation for this specification. Both, the OGC WMTS test suite and deegree's candidate reference implementation have been developed within the OGC OWS-9 initiative. The intention for implementing WMTS was that deegree had no clear strategy to handle big raster data. As a result, one of the advantages of deegree WMTS is the performant handling of big raster data - such as aerial images - and providing it through a standard-compliant interface. Additionally there is advanced support for using other web services based on OGC WMS and WMTS such as GeoServer, GeoWebCache and Mapserver as datasource for deegree's tiling API, which is the underlying data access layer of the WMTS. As a key feature deegree is capable of proxying FeatureInfo output from those remote services. The presentation will give an overview about deegree WMTS and all its capabilities, especially regarding the interfaces with other OSGeo components.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
13:56 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Using NoSQL & HTML5 Libraries To Rapidly Generate Interactive Web Visualisations Of High-volume Spatio-temporal Data

Twitter has developed over the past few years into a potent source of public opinion and comment. The service passed 500 million users in June 2012, collectively posting hundreds of millions of tweets each day, and several high-profile analyses of this data (such as the Twitter Political Index, which mapped sentiment across the US towards the 2012 presidential candidates over the course of their campaigns) have demonstrated its potential for insight and near-time customer feedback. Handling such large volumes and throughputs of data is a sizeable engineering challenge, however, and several commercial ventures (TweetReach, Tweet Archivist - many others) have sprung up specifically to deal with this complexity - at a cost. In addition, many existing solutions are unable to properly utilise the location data that is present in a significant proportion of tweets, losing out on the rich geographical context. This retrospective aims to demonstrate how an informed coupling of emerging open-source component technologies can be used to resolve the complex problems of i. large stored data volumes, ii. real-time streaming input, iii. concurrency of writes and iv. geographically querying and visualising results - with a minimal development outlay. Specifically, the construction of an open-source process to read, process, write, query and visualise streaming, geolocated Twitter data using the MongoDB NoSQL database and D3.js JavaScript library will be detailed, focusing on how MongoDB handles real-time spatial data (including spatial indexes & querying) and the unique features that make D3 so well-suited to visualising and exploring spatial data in the web browser.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:52 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

An Introduction To Open Source Geospatial

  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:13 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Application Development With OpenLayers 3

OpenLayers 3 is a complete rewrite based on the latest in browser technology. This talk will focus on best practices for application development with OpenLayers 3. Covering simple maps in a page, integration with popular MV* frameworks, and native-wrapped mobile apps, we'll look at strategies for building mapping functionality into your applications. OpenLayers 3 aims to provide a high performance library with a wide breadth of functionality. Come learn about how it differs from OpenLayers 2, what makes it stand apart from other alternatives, and how you can best leverage its functionality.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:57 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Building Catastrophe Models With Open Data And Open Software

A catastrophe model is a tool/technique which estimates the potential loss of property and life following a major catastrophic event. Different types of events or perils are modelled including; windstorm, earthquake, flood, and storm surge. ELEMENTS is the in-house catastrophe modelling software which is developed by Impact Forecasting, part of Aon Benfield Analytics. Behind the software are models for a wide range of different event and peril types across many countries and regions of the world. To develop the different components of the catastrophe model, Impact Forecasting use a variety of proprietary and open solutions. Open Data sources such as OpenStreetMap, SRTM, CORINE land cover datasets are used, amongst others. The open-source programming language, Python, is also used extensively to create hazard footprints and files needed for the catastrophe model. The use of Open Source software and Open Data supplemented with other available proprietary data sources allow Impact Forecasting to build more flexible and transparent catastrophe models.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:36 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

CDM & TDS Data Server: Earth & Ocean Sciences Meet GIS

Different geoscience disciplines have developed sophisticated domain-specific cyber infrastructures for data storage, manipulation, and visualization. NetCDF, HDF, and GRIB are multi-dimensional array-based data formats widely used in meteorology and oceanography. However, these formats are not fully compatible with the visualization and manipulation tools supported by Geographic Information Systems (GIS), which caters to the discrete vector features and 2D raster formats commonly used in the geography, hydrology, and cartography. By providing a higher level of abstraction and enabling spatial, rather than indexed, data access, the Unidata Common Data Model (CDM) facilitates integration of NetCDF, HDF, and GRIB data into GIS tools, fostering interdisciplinary communication. The THREDDS Data Server (TDS) utilizes the CDM to work efficiently with large, dynamic collections of observational and model data. The TDS organizes these collections into unified, logical datasets, simplifying their access and dissemination. TDS datasets are exposed via the WMS and WCS Open Geospatial Consortium specifications, with support for time and elevation standard dimensions. Alternatively, TDS datasets are accessible through specialized web services that provide subsetting capabilities. The NetCDF Subset Service allows for spatial subsetting, while OpenDAP subsets by index. Finally, metadata discovery systems such as Geoportal and GI-CAT harvest TDS catalog metadata. The TDS ncISO service also serves catalog metadata directly as ISO documents, enabling text searches and exposing a CSW interface on TDS instances through these discovery systems. The CDM & TDS are OpenSource projects (https://github.com/Unidata/thredds) with strong community support. Members have contributed key features, including the ncISO and WMS implementations. Moreover, many interdisciplinary Web-GIS applications have already been successfully developed combining TDS web services with resources from other spatial data infrastructures. Coupled with Unidata's governing committees, the projects provide a unique framework that establishes quality standards and ensures that development meets community needs
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
29:23 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

A Toe In The Water - Using Open Source Software To Support Catchment Management Planning

Integrated river catchment management planning seeks to balance many demands on the water and land, to protect water resources and ecology for the benefit of the economy, society and the natural world. Third sector organisations have a key role in this process - providing both the practical delivery of river restoration work, and an 'honest broker' role between government, private sector interests and local communities, to try and balance these often conflicting interests in a sustainable catchment plan. However, access to the complex evidence, software models and datasets, which are required for strategic environmental management planning, can be difficult for the third sector and community groups, due to reasons such as cost, licensing restrictions or technical capability. As the umbrella organisation of the rivers trusts movement in England, Wales and Northern Ireland, The Rivers Trust has been exploring the potential for open source software and datasets to improve the sharing of information and evidence with a range of stakeholders in the catchment management planning process. A web GIS application for identifying and prioritising barriers to migratory fish (based on Geoserver) and an application to identify sources of diffuse sediment pollution (built on SAGA GIS) will be demonstrated, and plans for future development of open source tools and data sharing is discussed.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
18:37 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Analysis Of Realtime Stream Data With Anvil

  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
18:55 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Big Data In Standardization: Can This Fly?

In geo data, a main footprint coming from Big Data stems from remote sensing, atmospheric and ocean models, and statistics data. In the strive for interoperability, standardizaiton bodies establish interface specifications for large-scale geo services. Are these standards really helpful, or do they inhibit performance? We investigate this and show both positive and negative examples, based on OGC, INSPIRE, and ISO standards relevant for scalable geo services.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:20 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

A New GIS Toolbox For Integrating Massive Heterogeneous GIS Data For Land Use Change Analysis

Agricultural land use in Germany and related impacts on the environment and the use of natural resources are key research topics at the Thünen-Institute of Rural Studies. As spatial context is essential for the analysis of causal connections, GIS data regarding all necessary information was gathered during different research projects and prepared for processing in a database. In particular, the Integrated Administration and Control System, which was available for certain project purposes for several Federal Laender and years, serves as a very detailed data source for agricultural land use. We use different Open Source GIS software like PostgreSQL/PostGIS, GRASS and QuantumGIS for geoprocessing, supplemented with the proprietary ESRI product ArcGIS. After introducing the used input data and the general processing approach, this paper presents a selection of geoprocessing routines for which Open Source GIS software was used. As an exemplary 'use case' for the conclusions from the consecutive statistical analysis, we summarize impacts of increased biogas production on agricultural land use change highlighting the trend in biogas maize cultivation and the conversion of permanent grassland to agricultural cropland.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
32:08 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Processing Data In GeoServer With WPS And SQL Views

This presentation will provide the attendee with an introduction to data processing in GeoServer by means of WPS, rendering transformations and SQL views. We will start by a brief introduction to GeoServer WPS capabilities, showing how to build processing request based on existing processes and how to build new processes leveraging scripting languages, and introducing unique GeoServer integration features, showing how processing can seamlessly integrate directly in the GeoServer data sources and complement existing services. The presentation will move on showing how to integrate on the fly processing in WMS requests, achieving high performance data displays of heatmaps, point interpolation and contour line extraction without having to pre-process the data in advance, and allowing the caller to interactively choose processing parameters. While the above shows how to make GeoSever perform the processing, the analytics abilities of spatial databases are not to be forgotten, the presentation will move on showing how certain classes of processing can be achieved directly in the database. Eventually, the presentation will close with some guidance on how to choose the best processing approach depending on the application needs, data volumes and frequency of update, mentioning also the possibly to leverage GeoServer own processes from batch tools such as GeoBatch. At the end the attendee will be able to easily issue WPS requests both for Vectors and Rasters to GeoServer trhough the WPS Demo Builder, enrich SLDs with awesome on-the-fly rendering transformations and play with virtal SQL views in order to create dynamic layers.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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Version

AV-Portal 3.7.0 (943df4b4639bec127ddc6b93adb0c7d8d995f77c)