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22:43 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Using Spatial Business Intelligence For Asset Management

The maintenance of waterways is expensive. Optimization of reconstruction projects can save money and limit hindrance for the public. In this presentation I show how the implementation of Spatial OLAP can give better insight in the quality of the construction of waterway banks. By spatially overlaying inspection results with construction records, a better estimation can be made about the overall quality, potential danger and repair costs. Spatial OLAP is an excellent way to provide insight into the different variables involved in the planning proces of maintenance.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
16:22 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Working With Spatial Databases With GeoAlchemy

GeoAlchemy helps you use spatial databases from Python. GeoAlchemy provides extensions to SQLAlchemy, the Python SQL toolkit and ORM. GeoAlchemy builds on SQLAlchemy's extreme flexibility, and can be used for different types of applications, from simple scripts to complex web applications. In this talk we will present GeoAlchemy and SQLAlchemy. We will describe when and how SQLAlchemy and GeoAlchemy can be useful. We will demonstrate the power and flexibility of the tools. We will also present the new version of GeoAlchemy, namely GeoAlchemy 2. GeoAlchemy 2 enables leveraging PostGIS' new features. For example, GeoAlchemy 2 supports PostGIS's new raster type. Finally, we will demonstrate how GeoAlchemy integrates with other well-known Python tools, such as Shapely.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
50:05 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

VivaCity Smart City Platform

Many big vendors are exploring the smart city concept explaining that the smart city is a city aware of the things happening in the infrastructures. Thus the vendors are pushing for a Smart Grid, Smart Metering, Smart Sensors and Smart Whatsoever. This makes the city look like a sick patient, being monitored in many ways with histograms, gauges and panels for the information to be read. In our opinion this is the most unnatural way to interact with city information. Historically the most used way to interact with citizen oriented information is the map. Even today, with the always more precise GIS tools, the map can be an important part of a city information management tool. The VivaCity Project is a platform for the data-driven smart city. The core of the platform consists of a map- based view of the city itself, with all the possible cartographic open data made available by the governance. Beyond that, various apps can contribute in a smart manner through a set of plugins and entry-points for various views of the city, enabling a deep and complex interaction with the city itself. This system is self-sustaining, considering that the city already contains its monitors, which are the citizens. They just need two sets of tools: a visualization tool enabling the citizens to understand what is being done at a given time, and a tool to express opinions, problems and proposals to the governance. Considering that an overly generic tool loses its meaning because it has no real target, the interaction with the governance is delegated to function-specific or target-specific apps sharing a common API. This way both governance and citizen gain benefits, having both sides creating new data all the time and interconnecting information from the city and its inhabitants: governance has the ability make decisions based on real-time citizen-driven data, while citizens have the opportunity to create new services using the provided data. Figure 1 - Part of the VivaCity Smart City Interface For instance, the APIs offered to external apps are aimed to the following areas of interest: Politics, political decisions Maintenance • • • • • • • • • Security City Info, Touristic, Cultural information Management, urbanistic information Urban events, Urban Acupuncture, social analysis Emergency Management, Emergency information aggregation from the many sources available Economic, Managerial information Environmental, Energy usage information The data shown in the interface is the sum and interpretation of the data provided by the local governments through open data, or applications created by third parties like OpenMunicipio in Italy, the OpenSpending platform by OKFN or even simply mash-ups with complex datasources, like the USGS earthquake map, or the various regional APIs for simple services or any other app enabling the citizen to participate actively to the activity of his government. Using the platform in different cities enables a normalization of the services offered by the cities, and the direct comparison and interconnection of cities through a distributed API supporting the governance to empower policies and improve citizens’ lifes.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:39 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

TileServer: Hosting Map Tiles And MBTiles

OpenGIS Web Map Tiling Service (WMTS) is becoming the standard used for distributing raster maps to the web and mobile applications, cell-phones, tablets as well as desktop software. Practically all popular desktop GIS products now support this standard as well, including ESRI ArcGIS for Desktop, open-source Quantum GIS (qgis) and uDig, etc. The TileServer, a new open-source software project, is going to be demonstrated. It is able to serve maps from an ordinary web-hosting and provide an efficient OGC WMTS compliant map tile service for maps pre-rendered with MapTiler, MapTiler Cluster, GDAL2Tiles, TileMill or available in MBTiles format. The presentation will demonstrate compatibility with ArcGIS client and other desktop GIS software, with popular web APIs (such as Google Maps, MapBox, OpenLayers, Leaflet) and with mobile SDKs. We will show a complete workflow from a GeoTIFF file (Ordnance Survey OpenData) with custom spatial reference coordinate system (OSGB / EPSG:27700) to the online service (OGC WMTS) provided from an ordinary web-hosting. The software has been originally developed by Klokan Technologies GmbH (Switzerland) in cooperation with NOAA (The National Oceanic and Atmospheric Administration, USA) and it has been successfully used to expose detailed aerial photos during disaster relief actions, for example on the crisis response for Hurricane Sandy and Hurricane Isaac in 2012. The software was able to handle large demand from an ordinary in-house web server without any issues. The geodata were displayed in a web application for general public and provided to GIS clients for professional use - thanks to compatibility with ArcIMS. It can be easily used for serving base maps, aerial photos or any other raster geodata. It very easy to apply - just copy the project files to a PHP-enabled directory along with your map data containing metadata.json file. The online service can be easily protected with password or burned-in watermarks made during the geodata rendering. Tiles are served directly by Apache web server with mod rewrite rules as static files and therefore are very fast and with correct HTTP caching headers. The web interface and XML metadata are delivered via PHP, because it allows deployment on large number of existing web servers including variety of free web hosting providers. There is no need to install any additional software on the webserver. The mapping data can be easily served in the standardized form from in-house web servers, or from practically any standard web-hosting provider (the cheap unlimited tariffs are applicable too), and from a private cloud. The same principle can be applied on an external content distribution network (Amazon S3 / CloudFront) to serve the geodata with higher speed and reliability by automatically caching it geographically closer to your online visitors, while still paying only a few cents per transferred gigabyte.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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
25:37 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Disconnected Geospatial Mobile & Open Source 5 Rules To Success?

We present the challenges of building a disconnected geospatial mobile solution and devise five simple rules for the success of your app. This paper will look at the following key issues: Rule 1 Data Storage. Streaming GI data requires good bandwidth, by implementing a caching mechanism the end-user will always have access to the data for a given area. Rule 2 - Use Open Source. Free and Open Source software for GIS has evolved significantly in recent years and in some cases faster than commercial alternatives. The mobile field is a bit different and few experts are using free and open source mobile GIS, despite the good tools that exist. Rule 3 - Use Open Standards. In combination with the use of Open Source products, Open Standards can help future proof the solution. Rule 4 - Simplify User Interfaces. The time of the stylus is gone and users now expect to use their finger for driving the application. Specific attention must be paid to designing simple and clear user interfaces. Rule 5 - Implement Non native Solutions. Should separate solutions be developed for IPhone and Android? Could the answer be instead to actually develop non native solutions reducing development and maintenance costs. Armed with these rules we will look at the challenges on the road ahead to implementing your GI Mobile solution.
  • 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
26:23 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Leaflet: Past, Present, Future

Leaflet, a JavaScript library for mobile-friendly interactive maps, has come a long way since its inception. The library started as a one-night hack and evolved over the next two years as a closed proprietary API, developed by one person, and then was finally rewritten from scratch as an open source library in 2011. Leaflet is now the most popular open source solution for publishing maps on the Web. What’s the story behind Leaflet? How did it became so successful so quickly despite strong competition and lack of features? This talk will be presented by its lead developer and will cover lessons learned, the current state of the project and future challenges.
  • 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
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
26:44 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Mapbender3 - Create Your Own Geoportal Web Application And Service Repository

Mapbender3 is a client framework for spatial data infrastructures. It provides web based interfaces for displaying, navigating and interacting with OGC compliant services. Mapbender3 has a modern and user-friendly administration web interface to do all the work without writing a single line of code. Mapbender3 helps you to set up a repository for your OWS Services and to create indivdual application for different user needs. The software is is based on the PHP framework Symfony2 and integrates OpenLayers, MapQuery and JQuery. The Mapbender3 framework provides authentication and authorization services, OWS Proxy functionality, management interfaces for user, group and service administration. In the presentation we will have a look at some Mapbender3 solutions and find out how powerful Mapbender3 is! You will see how easy it is to publish your own application.
  • 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
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
23:20 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Epidemiology With An Open Source WebGIS Platform

We present a statistical WebGIS platform integrating visualization tools and statistical functions for epidemiological studies, entirely based on Open Source technologies. An application for cancer mapping and environmental cancer studies is the Cancer Atlas (CA-TN), the GeoICT platform of the Cancer Registry of Trentino (Italy).
  • 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
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
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
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
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
29:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

3D Web Services And Models For The Web: Where Do We Stand?

In the past years, numerous open source projects have started to display 3D globes and 3D data on the web. Standardizing web services, data format and representation models is, therefore, a very hot topic. There are in particular ongoing efforts on the OGC side as well as on the W3C side. The OGC has released a draft candidate for a 3D web service W3DS, the ISO X3D standard proposes an XML-based file format for representing 3D computer graphics and the W3C is considering adding X3D rendering into HTML5. Other projects implement their own web services and formats. On the implementation side, Geoserver supports W3DS and X3D, the X3DOM library prototypes a possible implementation of X3D HTML5 integration and last but not least, browsers with WebGL support are fully able to handle the representation of 3D data on the client side. The talk is going to detail the mentioned elements, show demonstrations of existing implementations and try to suggest a possible path into the 3D web for the FOSS4G community.
  • 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
28:27 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Open Geospatial Data And Services Publication On The Cloud: The INGEOCLOUDS Open Source Approach

The cloud can be used as an infrastructure, as a platform or as a (desktop) software replacement according to the three different paradigms that it supports (IaaS, PaaS and SaaS). On the other hand at the moment more and more applications are using the cloud as their backend since it promises (unlimited) scalability and elasticity in terms of storage and computing power. In the open source geospatial world a lot of effort has been invested in developing excellent software that can be used to store, manage, visualize and publish on the web geospatial data and services. But when it comes to the cloud those offerings are not always readily available since the software, we all build, does not scale in a way that can take advantage of the cloud. In that respect we worked towards providing scalability and elasticity capabilities for the storage, querying and visualization of geospatial data based on existing open source solutions like the Mapserver, PostGIS, Apache and so on. We also worked on the lower part of the software stack so that we can build an elastic file system for storing geospatial data. So we are in the process of offering a fully open source solution that can take advantage of the cloud and its properties. Moreover we have coupled this solution with support for publishing anyone’s geospatial data as Linked Open Data so that they can be readily combined with other data on the web. In that respect we are using an open source SPARQL endpoint (Virtuoso) that allows us to store geospatially enabled information given that a suitable conceptual model will be provided described in RDF. Thus we allow for seamless integration of published data on the semantic web and we provide the necessary services for integrating this kind of offering in other applications in the future. Additionally we identified an emerging need to allow end users to publish their own data and create dynamically their own customized services on the cloud. Thus we exploit cloud’s “unlimited” storage capabilities to allow end users to publish their own data (as long as it is cost effective, too), combine them with existing data and create their own WMS/WFS customized services and publish them on the web. This has a great value-added for the users since they can actually publish their own maps. Finally, we demonstrate the capabilities of our technical solution by building and offering a set of advanced geophysical services through the platform. These services include a service for creating shakemaps (maps the visualize the effects caused by an earthquake to the environment), predicting landslides (providing maps assessing the possibility of landslides) and handling pollution information in ground waters. In conclusion, we offer an open source software stack that is based on existing open source software and extends it as needed in order to take to the most possible advantage of the properties of the cloud. We have tried to keep the software agnostic for the specific cloud and its capabilities. The work is carried out within the INGEOCLOUDS FP7 Project, co-funded by the EU, and with the participation of companies (AKKA technologies, France), research centers (CNR, Italy and FORTH, Greece) and data providers like geological surveys (GEUS, Denmark; GEO-ZS, Slovenia; BRGM, France and EKBAA, Greece) and earthquake research institutes (EPPO, Greece).
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:59 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Optimising Spatial Data Analysis With PostgreSQL And PostGIS

In this talk we will demonstrate spatial data analysis on the relational database system PostgreSQL (http://www.postgresql.org) equipped with the spatial extension PostGIS (http://www.postgis.org). We will gradually introduce some of the optimisation techniques provided by PostgreSQL, by applying them to the solution of increasingly complex problems belonging to the PostGIS domain. Our aim is to point out as clearly as possible the main ideas behind each example, showing the link in both projects between development of new features and the need to tackle real-world problems. Topics mentioned in this talk include: the special index types GiST and SP-GiST; custom database objects, such as data types, functions and operators; query and workload profiling.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
16:33 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

The Architecture Of Mobile Traffic Map Service

MOLIT(Ministry of Land, Infrastructure, and Transport) has established NTIC(National Transport Information Center) for effective management of various kinds of transportations in South Korea and released several services that people can use. Gaia3D Inc., has involved in one part of mobile service which displays traffic status on roads, streets, and highways up on geographical map, making people easily check the status of traffc wherever they’re heading. Gaia3D Inc., will introduce not only the experience of implementing mobile traffic map service (iPhone App, Android App, and Mobile Web Client) showing traffic on roads, streets, and highways at NTIC using Squid Proxy Server, GeoServer, and SQL Server but also advanced architecture coming up in 2014. NTIC system collects all kinds of real time traffic data of all highways, routes, streets, and roads in South Korea and divides those collected traffic data into three colors in green, yellow, and red by speed. These colorized traffic data are mashed up with map data to service on mobile devices. Servers carry out tiling traffic map in every 5 minutes and clients receive and display those tiled data. This system aimed at tolerating peak times of two major holiday seasons in South Korea - Chuseok(Korean Thanksgiving day) and Seolnal(Lunatic New Year’s day) when almost 15 million people per day travel at the peakest dat and about 8 million vehicels are poured out to roads, streets, and highways, so the system should be designed to safely handle over 100,000 concurrent connections. The whole system is consisted of two Cache Servers with Squid Proxy, six Map Server with GeoServer, and three Database Server with SQL Server. Real time traffic information and road lines are managed in SQL Server and provided to GeoServer. Traffic map tiles are produced in GeoServer and are passed to Cache Server. The client is designed to request tiles via interface of WMTS(Web Map Tile Service) protocol with Time Tag. The very initail architecture designed in 2012 somehow managed to endure traffic loads at peak times, but had some problems, which was quite disappointing and unexpected results. In order to improve the system, we’ve mainly focused on the enhancement of scalability. Also, we’ve newly redesigned the system into seperating tile producing servers and managing static contents using NGINX web server.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:58 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Mobile Development With OpenLayers, Sencha Touch And PhoneGap

We will discuss some of the experiences we (Camptocamp and OpenGeo) had whilst developing several mobile applications with OpenLayers 2 in combination with Sencha Touch. Some applications also used PhoneGap to create real apps. Among the topics that will be discussed: -approaches for feature selection -the OpenLayers tile manager -offline tiles (async layer) with PhoneGap
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:34 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Mappy-ng Open Source

Mappy is an online mapping company based in France and fully-owned by Solocal Group (PagesJaunes). Mappy was the pioneer in online mapping in France, and holds a significant market share in France and Belgium (about 10 millions monthly users). The company has developed an home-made LBS platform since 1998. The mapping service delivers 100 millions tiles a day. At the beginning of 2012, Mappy decided to redesign its core mapping service to meet new business challenges. The company needed a more standard and open source solution. Developers and product managers have fallen in love with Mapnik (some for code and performance, others for the map display quality). The team made the decision to build the new mapping service around Mapnik and others open source tools like PostGIS. The project was challenging : we switched from a MSSqlServer database/home made mapping engine/Windows architecture to a postgis database/mapnik engine/Linux one. During the development, we've seen and appreciated the energy around Mapnik and we started to gradually dive into code and contribute to some features. This talk will present a feedback on the overhaul : the functional and technical challenges, the decision to contribute to Mapnik project, the release of this service, its performance and the future roadmap.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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Version

AV-Portal 3.7.0 (943df4b4639bec127ddc6b93adb0c7d8d995f77c)