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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
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
16:26 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Gestural Interaction With Spatiotemporal Linked Open Data

Exploring complex spatiotemporal data can be very challenging for non-experts. Recently, gestural interaction has emerged as a promising option, which has been successfully applied to various domains, including simple map control. In this paper, we investigate whether gestures can be used to enable non-experts to explore and understand complex spatiotemporal phenomena. In this case study we made use of large amounts of Linked Open Data about the deforestation of the Brazilian Amazon Rainforest and related ecological, economical and social factors. The results of our study indicate that people of all ages can easily learn gestures and successfully use them to explore the visualized and aggregated spatiotemporal data about the Brazilian Amazon Rainforest.
  • 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
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
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
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
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
25:38 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

The Importance Of Open Source Geospatial Labs In Widening Geospatial Education Worldwide

The importance of Open Source Geospatial Labs in widening Geospatial education worldwide Suchith Anand, University of Nottingham, UK Charlie Schweik, University of Massachusetts, Amherst, USA Helena Mitasova, North Carolina State University Maria Antonia Brovelli, Politecnico di Milano, Italy Serena Cotezee, University of Pretoria, South Africa Phil Davis, GeoTech Center, Delmar College, USA Patrick Hogan, NASA, USA Raphael Moreno, University of Colorado, Denver, USA Jeremy Morley, University of Nottingham, UK Although there has been tremendous growth in geospatial science over the last decade, the number of universities offering teaching in geospatial science in developing countries is very low. There are number of factors for this including high cost of software, lack of trained staff etc. But with the advent and maturity of free and open source geospatial software many universities in developing countries across the world will be establishing courses in geospatial science in the next few years. It was with this bigger mission in mind that in Sep 2011, the Open Source Geospatial Foundation (OSGeo) and the International Cartographic Association (ICA) signed an MoU with the aim of developing on a global basis collaboration opportunities for academia, industry and government organizations in open source GIS software and data. Within a span of one year, we now have established labs across the planet in 6 continents . We have now grown to 20 research labs across the world (6 in Europe, 3 in North America, 3 in South America, 4 in Asia, 3 in Africa and 1 in Australia). The three main aims of the ICA-OSGeo Lab Network are to provide expertise and support for the establishment of Open Source Geospatial Laboratories and Research Centers across the world for supporting development of open-source geospatial software technologies, training and expertise ; to provide support for building-up and supporting development of open source GIS training materials; to enable development of collaboration opportunities for academia, industry and government organizations in open source GIS for the purpose of creating a sustainable ecosystem for open source GIS globally. The availability of free and open source GIS will make possible for large number of universities especially in developing countries to also start courses in geospatial science. This will in true sense bring down the entry barrier for many students especially in developing countries to learn GIS. The OSGeo.org’s education and curriculum committee has a significant history of collaboration and established significant social capital among the network of participants. but up until now, we have only been able to achieve collaboration in the form of individual posts of metadata and links to educational material [2]. With the emergence of this lab network model, coupled with the right incentives, we are confident that this network can do more collectively on the education front, and we have not yet formed closer collaborative ties in the area of open geospatial application and research. Recently the authors listed above have been collaborating on a grant proposal to establish a new effort for this open geospatial lab network that mimics open source software collaboration and that includes three key components: (1) a coordinated teaching program; (2) a repository and a system for the management of new derivatives; and (3) a organized cross-node research program focusing on applications of open geospatial technologies to support local governance and management in several key environmental management areas. In this presentation, we will describe elements of this proposal, partly in an effort to encourage others at FOSS4G to consider joining in the effort, and to solicit other collaborative ideas from the audience.
  • 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
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
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
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
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
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
29:26 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Online GIS - Meet The Cloud Publication Platforms That Will Revolutionize Our Industry

Web mapping has become very exciting in the last year or two. Many new products have come onto the market that make the creation and publication of web maps easier by an order of magnitude. The demand for quick and easy web maps isn’t a new one, so why is it only now that we’re seeing products that address this need enter the market? The answer is twofold: first, cloud computing has has hugely reduced the cost of running resource hungry map servers; and, second, the open source building blocks that most of the products featured in this presentation utilise have reached the level of maturity required to build reliable, scalable products on top of them. Most of this new generation of cloud based web map publication products are indeed “standing on the shoulders of giants” and wouldn’t exist if it wasn’t for the tremendous work done by the open source GIS community over the last decade. This presentation will be a follow up to my free ebook released in March entitled “Online GIS - Meet the Cloud Publication Platforms that Will Revolutionize our Industry” (www.onlinegis.com), the presentation will take a closer look at the products covered in the book and particular the open source building blocks that make them possible. You no doubt are wondering is why the CEO of a web map software company would want to give a presentation that not only looks at his product but also those of his “rivals”. The short answer is that I get asked all the time what the difference is between these products and also see the same question asked many times in online forums and social media channels, so it’s obviously something that needs answering. I also don’t view most of these products as our rivals, although all of the products featured in this presentation are capable of similar end results; the steps required to achieve those results differ hugely, with each aiming to make that process as smooth as possible for a certain type of user, be it programmer, casual GIS user or GIS analyst. After this presentation you’ll have a good idea of the differences between ArcGIS Online, CartoDB, GeoCommons, GISCloud, MangoMap and Mapbox, you will also have a clearer idea of which of the products is best suited to your unique needs and requirements as well as the open source building blocks that power them. This presentation isn’t going to show you how to use these products, but it will show you what is possible with each of them and what it takes in order to achieve the best results.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:45 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

OpenWIS Opensource Software

OpenWIS OpenSource Software The World Meteorological Organization (WMO) has been working for several years towards upgrading its global infrastructure to support all of its international programmes of work, both operational and research-based, to collect, share and disseminate information. The new infrastructure is called the WIS ( WMO Information System). It identifies three top level functions, namely: • GISC: Global Information System Centre; • DCPC: Data Collection and Production Centre; • NC: National Centre. Météo-France, the UK Met Office, the Australian Bureau of Meteorology, the Korean Meteorological Administration and Meteo France International have developed the OpenWIS software, coupled with their existing systems, to perform the three functions required by the WMO Information System; that is, GISC, DCPC and NC. Based on opensource bricks, with GeoNetwork, OpenAM, JBoss, Apache, Solr and PostGreSQL, OpenWIS is going to become opensource. Beyond the WIS requirements, the OpenWIS consortium is building new functionalities for OpenWIS that will fit the OGC (OpenGeospatial Consortium) and INSPIRE (European directive) aspects, with standards OGC interfaces, a portal providing the viewer function with the discovery, search and request possibilities, and in a short future the billing and the transformation services. The current functional components of OpenWIS are: • Data Service and its cache of essential data • Metadata Service (ISO19115 catalogue synchronised with OAI-PMH protocol) • Security Service • Monitoring and Control • Portal (Discovery, Search, Browse, Request, Subscription) Météo France operates various dissemination tools. OpenWIS provide a generic interface that Météo France has adapted, covering requests for dissemination and their monitoring. OpenWIS interacts with data sources to respond to ad hoc or periodic subscription requests either directly via harness connections or relying on SOA OGC infrastructure. The new challenge of the consortium is to share the opensource model and expand membership beyond the founding members. The reflexion within the consortium enables to give some trends: • A steering committee for the integration of new functionalities (spontaneous or not) • One or two licences (the portal and the metadata component inheriting of the GeoNetwork licence) • A strong but reduced team for the initial developpement (MetOffice and Meteo France) • Git for the management of versioning and integration • The will to put the soft on the shelves of the World Meteorological Organisation • Entrance in the opensource area by the end of 2013
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:52 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

SVG Map - Tile Map Without Javascript

In this presentation we will show how the SVG Map technology can display a tiled map without Javascript. Many popular internet tile maps such as OpenStreetMap, Google Maps, etc. use Javascript to provide tiling and layering. But this can cause high load especially on mobile platforms. SVG Map instead implements specific elements and attributes, that enable internet browsers to display map tiles directly through the browser's layout engine, with support for dynamic tiling and layering. The core mechanism of this tile map is the “SVG iframe” element. Depending on zoom level, map layer and viewport the relevant map data is downloaded using media queries. The “globalCoordinateSystem” element allows to define the geographic coordinate system and to describe transformation rules. SVG Map will make it possible to display maps in the browser with SVG files alone, and it will allow to style maps with CSS. While a first prototype has been is developed using Javascript, development has started on implementations for Webkit browser and a Firefox add-on. Because Firefox OS doesn't support add-ons, the native implementation in Firefox browser is also planned. The final aim is to make SVG Map a W3C standard, and discussion has already started in the SVG Working Group at W3C.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:02 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

OpenLayers 3 Showcase

OpenLayers 3 enables a huge range of new web mapping functionality. In this talk, we'll show off many of the cool features of OpenLayers 3, including: Rich interaction and animation Virtual globe integration Raster layer effects Wide-ranging data source support The talk will be light on technical details and heavy with cool demos to show you how OpenLayers 3 opens up new and exciting ways of presenting your geospatial data.
  • 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
19:05 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

The Business Case For Open Standards

The use of open standards has brought considerable business value to Ordnance Survey, Great Britain’s national mapping authority. Ordnance Survey participates in the development process for open standards in international standards bodies and is an early adopter of many open standards. The use of open standards has enabled Ordnance Survey to future proof internal information systems, foster innovation within new product development and better serve data to its customers. The use of open standards has brought considerable business value to Ordnance Survey, Great Britain’s national mapping authority. Ordnance Survey participates in the development process for open standards in international standards bodies and is an early adopter of many open standards. The use of open standards has enabled Ordnance Survey to future proof internal information systems, foster innovation within new product development and better serve data to its customers.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:08 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Open Source Software For Land Cover Mapping From Remote Sensing Data

Open source software is well established for basic raster and vector data processing, with the Geospatial Data Abstraction Library (GDAL) as one of the most well known tools. Its utilities and application programming interface (API) have become a common standard for data format conversion, reprojection, spatial and spectral subsetting. With its command line interface utilities, GDAL is better suited for the automatic processing of very large amounts of data and for repetitive processing tasks than most of its commercial counterparts. Though GDAL provides an excellent API on which more advanced image processing tasks can be built, not all users have the time or programming skills to get involved such development. In particular within the remote sensing user community, there is a large interest in machine learning techniques applied to remote sensing data.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:46 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

OpenLayers 3 - How To Successfully Run A Crowdfunding Campaign For An OSS Project

The impressive list of OSGeo Projects [1] show the necessity to develop OpenSource software. Behind all lines of code, there is the work of one developer. And, in our capitalist world, work means money. This presentation will underline the challenges of the crowdfunding effort organized for the development of the next major release of OpenLayers 3. OpenLayers is one of the most famous OSGeo library and is widely used for the development of web mapping applications. Its development started in 2007. In 2012, it was clear for the developers that the current release was at the end of its life. The emergence of new technologies implied to create a complete new libraries based on these new technologies. As usual in the OpenSource world, some developers started this work in the middle of 2012. Since a complete rewrite was required, it appeared clearly that the work needed to obtain a library that would allow the migration to the new release was huge. It was estimated to 2’500 hours of work. At this time, swisstopo planned a migration of its web mapping applications. swisstopo decided to use the future release of OpenLayers, which was only a very first prototype. In order to benefit of the advantages of OpenSource developments made by a community, it was not possible for swisstopo to simply mandate a company for the development of this library. The commitment of the OpenLayers community and its committers/developers was needed. So, in order to speed up the development process, swisstopo decided to invest a substantial amount of money and to organize a crowdfunding effort together with companies active in the OpenLayers development scene. Several financement channels were used: micro fundings from individuals and more important fundings from companies and administrations. This presentation will describe the main problems and challenges faced during this crowdfunding effort and how they have been solved. Here is a list of these problems and challenges: - Some key actors had to be convinced to donate in order to convince others to follow the movement. It is important that one or two big players make the first donations. And, since the money is managed by the higher manager, a lot of energy has been put in explaining how an OpenSource community works. The OpenSource development model is still not very well known and the higher management often think that a normal contract with one company is the best way to develop softwares. - The general objective was to be clear and strong enough in order to convince individuals, companies or administrations to invest on something that didn’t exist. - The financial capacities of individuals, companies or administrations are not the same. But all are part of the OpenLayers community. It was important to be able to handle donations of some dollars to some thousand of dollars. - OpenLayers is an OpenSource community, but is not a legal entity. It’s therefore not possible to make a contract with OpenLayers. In order to solve that, the main companies of the OpenLayers development scene decided to create an association in order to simplify the administrative aspects. - The commitments and the resources of the OpenLayers committers was needed in order to ensure that the library could be developed in a short time frame and with the necessary level of quality. - A worldwide communication concept has to be put in place in order to reach all potential crowdfunders. And this only with a few persons working partially on this project. - An organization had to be put in place in order to coordinate the work of persons located all around the world. But at the end, the result is here: more than 350’000 USD have been found and the development of OpenLayers 3 is a reality. And everyone can now benefit of a modern, performant and 2D/3D web mapping library, thanks to all crowdfunders and developers !!!
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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Version

AV-Portal 3.7.0 (943df4b4639bec127ddc6b93adb0c7d8d995f77c)