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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
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
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
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
23:35 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

MapServer Project Status Report - Meet The Developers!

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

MapCache: The Fast Tiling Server From The MapServer Project

MapCache is a new member in the family of tile caching servers. It aims to be simple to install and configure (no need for the intermediate glue such as mod-python, mod-wsgi or fastcgi), to be (very) fast (written in C and running as a native module under apache or nginx, or as a standalone fastcgi instance ), and to be capable (services WMTS, googlemaps, virtualearth, KML, TMS, WMS). When acting as a WMS server, it will also respond to untiled requests, by merging its cached tiles vertically (multiple layers) and/or horizontally. Multiple cache backends are included, allowing tiles to be stored and retrieved from file based databases (sqlite, mbtiles, berkeley-db), memcached instances, or even directly from tiled TIFF files. Support of dimensions allows storing multiple versions of a tileset, and time based requests can be dynamically served by interpreting and reassembling entries matching the requested time interval. MapCache can also be used to transparently speedup existing WMS instances, by intercepting getmap requests that can be served by tiles, and proxying all other requests to the original WMS server. Along with an overview of MapCache's functionalities, this presentation will also address real-world usecases and recommended configurations.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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
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
26:42 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

A Cellular Automata Land-Use Model For The R Software Environment

A cellular automata model of land-use change developed in the free and open source software environment R is presented. The advantages offered by R as a development environment for a CA land-use model are evaluated, and the pros and cons of the approach employed are discussed in depth with reference to commercial alternatives.
  • 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
25:25 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

ESA User Services Powered By Open Source

  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:39 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

OpenLayers 3: Under The Hood

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

PyModis: The Python Library For MODIS Data

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

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

The purpose of this presentation is, on a side, to dissect the developments performed during last year as far as raster data support in GeoTools and GeoServer is concerned, while on the other side to introduce and discuss the future development directions. Advancements and improvements for the management of raster mosaic and pyramids will be introduced and analyzed, as well as the latest developments for the exploitation of GDAL raster sources. Extensive details will be provided on the latest updates for the management of multidimensional raster data used in the Remote Sensing and MetOc fields. The presentation will also introduce and provide updates on the JAITools and ImageIO-Ext projects. JAITools provides a number of new raster data analysis operators, including powerful and fast raster algebra support. ImageIO-Ext bridges the gap across the Java world and native raster data access libraries providing high performance access to GDAL, Kakadu and other libraries. The presentation will wrap up providing an overview of unresolved issues and challenges that still need to be addressed, suggesting tips and workarounds allowing to leverage the full potential of the systems.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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
25:13 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Application Development With OpenLayers 3

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

Building Catastrophe Models With Open Data And Open Software

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

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

Different geoscience disciplines have developed sophisticated domain-specific cyber infrastructures for data storage, manipulation, and visualization. NetCDF, HDF, and GRIB are multi-dimensional array-based data formats widely used in meteorology and oceanography. However, these formats are not fully compatible with the visualization and manipulation tools supported by Geographic Information Systems (GIS), which caters to the discrete vector features and 2D raster formats commonly used in the geography, hydrology, and cartography. By providing a higher level of abstraction and enabling spatial, rather than indexed, data access, the Unidata Common Data Model (CDM) facilitates integration of NetCDF, HDF, and GRIB data into GIS tools, fostering interdisciplinary communication. The THREDDS Data Server (TDS) utilizes the CDM to work efficiently with large, dynamic collections of observational and model data. The TDS organizes these collections into unified, logical datasets, simplifying their access and dissemination. TDS datasets are exposed via the WMS and WCS Open Geospatial Consortium specifications, with support for time and elevation standard dimensions. Alternatively, TDS datasets are accessible through specialized web services that provide subsetting capabilities. The NetCDF Subset Service allows for spatial subsetting, while OpenDAP subsets by index. Finally, metadata discovery systems such as Geoportal and GI-CAT harvest TDS catalog metadata. The TDS ncISO service also serves catalog metadata directly as ISO documents, enabling text searches and exposing a CSW interface on TDS instances through these discovery systems. The CDM & TDS are OpenSource projects (https://github.com/Unidata/thredds) with strong community support. Members have contributed key features, including the ncISO and WMS implementations. Moreover, many interdisciplinary Web-GIS applications have already been successfully developed combining TDS web services with resources from other spatial data infrastructures. Coupled with Unidata's governing committees, the projects provide a unique framework that establishes quality standards and ensures that development meets community needs
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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
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
27:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Scribe: MapServer Mapfile Development Made Easy

Anyone who has tried to create great looking maps for a large dataset such as OpenStreetMap knows how daunting of a task that can be. Scribe is the solution to this painstaking task. This presentation will introduce this new way to not only edit, but mostly to manage, mapfiles. No matter how much data you have, how many mapfiles or the complexity of your symbology, it will help you sort out the essential by removing the iterative part of the process. Getting rid of all of this error prone copy-paste as well! Scribe is a python script that allows you to write a configuration file instead of a mapfile. The configuration is similar to Basemaps, but simpler to use and less verbose.
  • 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
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
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
17:20 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Old Maps Online And Georeferencer

Hundreds of thousands of historical maps have now been scanned and made available on-line by libraries around the world, and this has been a great boon to anyone interested in the history of cartography. Despite this fact it is hard to find scanned maps covering area of interest in the large number of online catalogs, library systems and web presentations on the web. The traditional fulltext search engines, such as Google, is failing to index the scanned maps properly. Old Maps Online is a search system tailored just for historical maps. Pick a location on a world map, or type in a place-name, narrow the search by selecting a date range. A listing of all possible maps covering that location appears, ordered by best geographical match. Select a map, click on the link and you go directly to view the map on the original library’s website. You don’t need to know who holds the map, just where in the world you want to look at. This system is designed to complement rather than compete with libraries' own search interfaces. The system is powered by the enhanced version of the MapRank Search technology and indexes over 130.000 scanned high-resolution maps already. Many major collections in the US, UK and elsewhere have agreed to contribute: The British Library, Harvard Library, National Library of Scotland, David Rumsey Map Collection, Dutch National Archives, Moravian Library, New York Public Library, Norman B. Leventhal Map Center at the Boston Public Library, National Library of Australia, etc. Our aim is to include as many collections as possible, so map libraries and collectors are encouraged to participate. To be able to index the scanned maps geographically, we must be supplied with minimal metadata (title, creator/publisher, date, identifier, and a stable url), plus geographic coordinates for the area covered, for each map. We can suggest/provide tools you can use to create the coordinates. One of the tools is the Georeferencer online service, which allows rapid collaborative georeferencing, 3D visualization, annotation and accuracy analysis of scanned online maps directly in a web browser environment, without the need to install any software on a local computer. The online visitors can help with the metadata enrichment and georeferencing of the scanned maps - and they are motivated with competitions, rewarding, community participation and recognition during this crowdsourcing effort. The Georeferencer service is applied in several institutions such as the British Library (London), the Moravian Library (Brno), the Nationaal Archief (The Hague), the National Library of Scotland (Edinburgh), and the Institut Cartografic de Catalunya (Barcelona).
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:54 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

MapServer REST API

MapServer doesn't have any build-in administration tool. MapServer REST API has been designed to manipulate the mapfile from HTTP requests (GET, POST, PUT, DELETE) based on RESTFul URL patterns. The presentation will show the basic concepts of the API, based on GeoServer REST API, and will make a live demo of managing a mapfile content with HTTP requests.
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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Version

AV-Portal 3.7.0 (943df4b4639bec127ddc6b93adb0c7d8d995f77c)