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08:07 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

GEO4ALL: Open Education Using FOSS4

  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:41 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

istSOS: latest developments and first steps into the OSGeo incubation process

istSOS (http://istsos.org) is an OGC SOS server implementation entirely written in Python. istSOS allows for managing and dispatching observations from monitoring sensors according to the Sensor Observation Service standard. istSOS is released under the GPL License, and should run on all major platforms (Windows, Linux, Mac OS X). The presentation will go through the details of all the new features that will be packed in the next release. In particular the presenters will introduce enhancements that include the Advanced Procedures Status Page and the istSOS Alerts & Web Notification Service. The istSOS Advanced Procedures Status Page is a new section of the Web graphical user Interface, offering at a glance a graphically representation of the Sensor Network health. Administrators can easily figure out common issues related with sensor data acquisition and transmission errors. The istSOS Alert & Web Notification Service are the result of the Google Summer of Code 2014 outputs. This service is a REST implementation that take inspiration from the OGC Web Notification Service (OGC, 2003; OGC, 2006a) and the Sensor Alert Service (OGC, 2006b) which currently are OpenGIS Best Practices. Alerts are triggered by customized conditions on sensor observations and can be dispatched through emails or social networks. This year istSOS is entering into the OSGeo incubation process, this new challenge will permit to enhance the software quality and consolidate the project management procedures. The presenters will present the incubation status and discuss about the next steps.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:00 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Image Geocoding as a Service

Driven by the ambition of a global geocoding solution, in this paper we present the architecture of an image geocoding service. It takes advantage of the ubiquity of cameras, that are present in almost all smartphones. It is an inexpensive sensor yet powerful, that can be used to provide precise location and orientation. This geocoding service provides an API similar to existing ones for place names and addresses, like Google Geocoding API. Instead of a text based query, images can be submitted to estimate the location and orientation of the user. Developers can use this new API, keeping almost all the existing code already used for other geocoding APIs. Behind the scenes, image features are extracted from the submitted photograph, and compared against a huge database of georeferenced models. These models were constructed using structure from motion (SFM) techniques, and heavily reduced to a representative set of all information using Synthetic Views. Our preliminary results shows that the pose estimation of the majority of the images submitted to our geocoding was successfully computed (more than 60%) with the mean positional error around 2 meters. With this service, an inexpensive outdoor/indoor location service can be provided, for example, for urban environments, where GPS fails.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
32:29 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Magical PostGIS in three brief movements

Everyone knows you can query a bounding box or even spatially join tables in PostGIS, but what about more advanced magic? This short symphony of PostGIS examples will look at using advanced features of PostGIS and PostgreSQL to accomplish surprising results: * Using full text search to build a spatially interactive web form. * Using raster functionality to look into the future. * Using standard PostgreSQL features to track and visualize versioning in data. PostGIS is a powerful tool on it's own, but combined with the features of PostgreSQL, it is almost magical.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:33 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Intelligent SDIs with MapMint 2.0

This conference aims at presenting the status of the MapMint open source project and its upcoming 2.0 version. The upgrade to newer versions of its core open source components will first be explained. The extensive use of OGC standards through ZOO-Project 1.5, GDAL 1.11 and MapServer 7 is indeed making MapMint an even more stable and efficient foundation to build an open source and standard-compliant spatial data infrastructure. The new metadata related functionalities being developed in interaction with PyCSW and CKAN will also be presented along with the assets of the CSW standard support. The new MapMint responsive user interfaces based on OpenLayers 3 and Bootstrap will also be presented. Both code and documentation improvements will also be detailed. The newly added functionalities in MapMint 2.0 will finally be explained from the developer and user point of views, based on case studies and live examples.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:45 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Building and integrating a Continuous-Integration system within your open source project

So you have an open source project or you want to create a new one. Maybe you have worked on a development project in the past that didn’t have quite the amount of rigor you would have liked. You know you want a build system for your project that is easy to administer, cheap, and powerful, but where do you start? Here is how we implemented our own process using free open source tools. We learned from experience that developers are more focused on solving problems than perceived “housekeeping” tasks. We needed tools that would automate the mundane, repeatable, mechanical, or human-difficult tasks so that developers could focus on what they are good at. We needed a single-sign on through Github to lower any barriers to tool usage that might exist. We needed a dead-simple way to determine if our commits broke functionality anywhere else in code. We needed to track how much of our code was covered by unit tests. Finally, we needed to be able to quickly and easily review each-other’s code and provide feedback. We decided on TravisCI to handle build duties in Maven with a nested project structure and also for its integration with Coveralls. For bug tracking, release scheduling, and task management, we chose WaffleIO for its tight integration with Github issues. One additional feature we desired was static analysis so that simple errors that lie outside of a linter could be caught and reported. This was handled by a combination of Coverity scans and a static analysis tool for Eclipse called Findbugs. Due to our platform support and third-party library (GDAL) requirement, the Github Wiki was the perfect place to keep all setup documents and other helpful articles for end-users and project new-comers. This system for software development worked quite well in most cases. Builds were automated, moderately tested (~40-60% coverage), and complaining to the team loudly via email when things broke. We had a new problem though: build breakages in the master branch and the inability to share code that was not yet fully functional. To alleviate this, we started using the branching and merging functionality that makes Git so valuable. Now, no direct commits occur to the master branch unless in very special circumstances. A developer will see the TravisCI build results before the merge ever occurs, allowing them to adjust code or test cases *before* they cause failures. As a side effect, the merge request workflow allows the team to perform code reviews quickly and easily. Finally, any CI system is not without challenges. Building a continuous integration system has upfront costs that should not be ignored. The payoff from those costs, however, is code/product quality and the avoidance of technical debt. Lastly, some of these CI tools lack support for private repositories.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:13 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Advanced Security with GeoServer and GeoFence

The presentation will provide an introduction to GeoServer own authentication and authorization subsystems. We’ll cover the supported authentication protocols, such as from basic/digest authentication and CAS support, check through the various identity providers, such as local config files, database tables and LDAP servers, and how it’s possible to combine the various bits in a single comprehensive authentication tool, as well as providing examples of custom authentication plugins for GeoServer, integrating it in a home grown security architecture. We’ll then move on to authorization, describing the GeoServer pluggable authorization mechanism and comparing it with proxy based solution, and check the built in service and data security system, reviewing its benefits and limitations. Finally we’ll explore the advanced authentication provider, GeoFence, explore the levels on integration with GeoSErver, from the simple and seamless direct integration to the more sophisticated external setup, and see how it can provide GeoServer with complex authorization rules over data and OGC services, taking into account the current user, OGC request and requested layers to enforce spatial filters and alphanumeric filters, attribute selection as well as cropping raster data to areas of interest.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
32:27 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Towards GeoExt 3 – Supporting both OpenLayers 3 and ExtJS 6

GeoExt (http://geoext.github.io/geoext2/) is Open Source and enables building desktop-like GIS applications through the web. It is a JavaScript framework that combines the GIS functionality of OpenLayers with the user interface savvy, rich data-package and architectural concepts of the ExtJS library provided by Sencha. Version 2.1 of GeoExt (currently in alpha-status) is the successor to the GeoExt 1.x-series and brought support for ExtJS 5 and is built atop the following installments of its base libraries: OpenLayers 2.13.1 and ExtJS 5.1.0 (or ExtJS 4.2.1 at your choice). The next version of GeoExt (v3.0.0?) will support OpenLayers 3 and the new and shiny ExtJS 6 (not finally released at the time of this writing). The talk will focus on the following aspects: * Introduction into GeoExt * New features in OpenLayers 3 and ExtJS 6 and how they can be used in GeoExt * The road towards GeoExt 3 * Results of the planned Code Sprint in June (see https://github.com/geoext/geoext3/wiki/GeoExt-3-Codesprint) * Remaining tasks and outlook The new features of OpenLayers (e.g. WebGL-support, rotated views, smaller build sizes, etc.) and Ext JS 6 (Unified code base for mobile and desktop while providing all functionality of ExtJS 5) and the description of the current state of this next major release will be highlighted in the talk. Online version of the presentation: http://marcjansen.github.io/foss4g-2015/Towards-GeoExt-3-Supporting-both-OpenLayers-3-and-ExtJS-6.html#/
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:15 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

Release in April 2014, this talk will introduce the major changes of the new standard for metadata on geographic information and what are the benefits for the data managers. It will be illustrated by its implementation in the latest GeoNetwork 3 version and with examples on how the Wallonia Region in Belgium migrated to it.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:13 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

In denmark the public authorities register various core information about individuals, businesses, real properties, buildings, addresses, ect.. This information is re-used throughout the public sector. It is a challenge for public authorities to re-use data from different providers to perform their tasks properly and efficiently across units, administrations and sectors. Therefore all the authoritative basic data should be defined and standardized according to the same methods. Danish Geodata agency as Denmark's central public source of geographic data has established a set of guidelines for future modelling of spatial data for distributing them as open geographic data. Based on the guidelines a model-driven process has also been established. It starts from the data modelling in UML to the end where data are distributed through WFS services and download services. One INSPIRE WFS service will be used as a concrete example.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:20 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Map publishing with or without programming skills

This presentation will showcase the use of Oskari (http://oskari.org/oskari) in publishing embedded map applications. The typical use case doesn't require any programming skills. You only need to select the map layers and tools that will be available in the application. After that, you can customize the user interface (size, colors, tool layout etc.). As a result the publishing tool will give you a HTML-snippet to embed to any web site. The supported web services are WMS, WMTS, WFS and Esri REST. If your data is not readily available through a web service, you can import data. Shapefiles, KML, GPX and MID/MIF-files are supported. There's an extensive selection of tools at your disposal: index map, centering to user��s location, address and place name search, attribute table (for vector data) to name a few. Integrating the map application with the surrounding web page makes more advanced use cases possible. All you need is a few lines of JavaScript to use the RPC interface (http://www.oskari.org/documentation/bundles/framework/rpc). With RPCs you can control the map application from the parent document and vice-versa. They can also exchange information. This enables you to develop highly interactive web applications with always up-to-date data. In the presentation an example application made using Oskari and D3 will be showcased.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
31:40 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Mapping in GeoServer with SLD and CSS

Various software can style maps and generate a proper SLD document for OGC compliant WMS like GeoServer to use. However, in most occasions, the styling allowed by the graphical tools is pretty limited and not good enough to achieve good looking, readable and efficient cartographic output. For those that like to write their own styles CSS also represents a nice alternatives thanks to its compact-ness and expressiveness. Several topics will be covered, providing examples in both SLD and CSS for each, including: mastering multi-scale styling, using GeoServer extensions to build common hatch patterns, line styling beyond the basics, such as cased lines, controlling symbols along a line and the way they repeat, leveraging TTF symbol fonts and SVGs to generate good looking point thematic maps, using the full power of GeoServer label lay-outing tools to build pleasant, informative maps on both point, polygon and line layers, including adding road plates around labels, leverage the labelling subsystem conflict resolution engine to avoid overlaps in stand alone point symbology, blending charts into a map, dynamically transform data during rendering to get more explicative maps without the need to pre-process a large amount of views. The presentation aims to provide the attendees with enough information to master SLD/CSS documents and most of GeoServer extensions to generate appealing, informative, readable maps that can be quickly rendered on screen.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
16:51 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

Human mobility is an important risk factor affecting disease transmission. Therefore, understanding detailed spatial behaviors and interactions among individuals is a fundamental issue. Past studies using high-resolution human contacts data from smart phones with GPS logs have captured spatial-temporal heterogeneity and daily contact patterns among individuals. However, measuring personalized exposed risk of infectious disease transmission is still under development. The purpose of the study is to establish a location-based framework for assessing personalized exposed risk of infectious disease transmission. The framework consists of three components: the first is client-side smart phone-based risk assessment module. We developed Android application for collecting real-time location data and displaying the personalized exposed risk score. The second component is the server-side epidemic simulation model. The simulation model calculated the personalized exposed risk score based on real-time GPS logs and individual mobility data from the client-side Android application. The last component is the disease alarm device for triggering the service-side epidemic simulation model. We installed infrared sensors in people-gathering areas as the alarm device to monitor human body temperature for detecting fever syndrome. We used NTU main campus as a pilot study to demonstrate the feasibility of the framework. We analyzed the records of students’ taking course and modeled the spatial interaction relationships among classroom buildings due to students’ mobility around the campus. Someone who got a fever is detected by the sensor and the server-side epidemic simulation is triggered. Each student who installed the client-side risk assessment module in his/her smart phone receives the real-time personalized exposed risk score when an epidemic outbreak on the NTU campus. The study proposed a location-based framework for measuring real-time personalized exposed risk. Each student at the campus could understand the spatial diffusion of disease transmission and make better spatial decisions based on personalized exposed risk scores.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:12 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

A spatial view in the culture heritage domain

Culture heritage institutions are hosting digital historic map collection and the collections more and more allow spatial-temporal searching and georeferencing of its maps. At the Saxon State and University Library Dresden (SLUB) this lead to the development of the Virtual Map Forum 2.0, which is a spatial data infrastructure (SDI) for searching, visualization and georeferencing plane survey sheets. This SDI mainly relies on OpenLayers 3, Mapserver, GeoNetwork and GDAL. Beside that, tools for automatic georeferencing based on image recognition software have been developed and compared with the use of crowdsourcing tools for georeferencing. A further topic, on which culture heritage institutions are focusing is enrichment, transformation and merging of existing heterogeneous metadata sets. The goal is to allow better searching and utilization approaches for digital and analog objects. In the SLUB this lead to the development of the open source ETL-tool d:swarm, which supports the transformation and enrichment of metadata records. This opens possibilities for adding spatial identifier to large amounts of library objects, like pictures, newspaper articles or books and through this allows for a greater consideration of the spatial dimension in discovery systems. Another big topic is long term preservation, which becomes even more important with the growing number of digital native publications and datasets. Libraries and archives as experts of long term preservation and spatial data infrastructure provider, which are confronted with tasks and questions regarding the preservation of content. They therefor can benefit from an exchange of knowledge and work between each other. The presentation will give an insight into the world of culture heritage institutions. It will present topics, where FOSS4G and libraries can benefit from each other. Therefore it discusses different issues from within the SLUB where FOSS4G is used or could be used and spatial issues are affected. The main topics are spatial-temporal searching and visualization, georeferencing, metadata enrichment and long-term preservation.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:10 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

In order to evaluate consequences of deposited radioactive cesium (and other radioactive substances) in natural systems a GIS based model called Stratos has been developed. This model incorporates information regarding deposition, transfer to vegetation and animals, intervention levels and geographical distribution of animals. The presentation will use a case study which describes the possible environmental consequences for Norway due to a hypothetical accident at the Sellafield complex in the UK. The scenario considered involves an explosion and fire at the B215 facility resulting in a 1 % release of the total HAL 1 inventory of radioactive waste with a subsequent air transport and deposition in Norway. Air transport modeling is based on real meteorological data from October 2008 with wind direction towards Norway and heavy precipitation. This weather is considered to be quite representative as typical seasonal weather. Based on this weather scenario, the estimated fallout in Norway will be ~17 PBq of cesium-137 which is 7 times higher than fallout after the Chernobyl accident. The modeled radioactive contamination is linked with data on transfer to the food chain and statistics on production and hunting to assess the consequences for foodstuffs. The investigation has been limited to the terrestrial environment, focusing on wild berries, fungi, and animals grazing unimproved pastures (i.e. various types of game, reindeer, sheep and goats). The results of a model-run are maps for the chosen products, with categorized colors - giving the degree of consequences. A linked text file gives relevant numeric values for each color. The Stratos model is written in python which calls GRASS-functions and uses as gui for model setup. The model has been used for two reports at the Norwegian Radiation Protection Authority, and is currently being used and developed further in the "Centre for Environmental Radioactivity" (CERAD), cerad.nmbu.no.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:20 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

The development and the usage of National Land Survey of Finland's dynamic and high performance map production system is described in this presentation. The system is currently in use and serves map images both to customers and to NLSFI production systems. The data in the map production system are open data and being updated on a weekly basis. When the data get updated, a RSS-feed is generated. Based on the feed, the map products are updated. Data is stored, updated and replicated in PostGIS. Map pictures are rendered in GeoServer. The visualization of the maps is based on SLD-stylesheets. SLD-stylesheets enable the same data to be visualized in several different ways. GeoServer in conjunction with SLD-stylesheets offers a Web Map Service (WMS). Map images are delivered via a high performance MapCache Web Map Tile Service (WMTS) and as image files via NLSFI download service. The system is designed to be expandable and is currently being further developed to enable the pro-duction of on-demand printed maps.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:14 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Open Source for Handling IndoorGML

In order to respond to increasing demand for indoor spatial information, an OGC standard called IndoorGML, has been recently published. It is an application schema of GML and based on the cellular space model, which represents an indoor space as a set of cells with their geometric, topological, and semantic attributes. Since we are at a beginning stage, very few tools supporting IndoorGML have been developed. In our talk, we will present an open source tool that we have been developing to provide a translating function between IndoorGML and other data formats. For example, it offers a Java package with a set of classes for indoorGML, called JavaIndoorGML. Once IndoorGML documents are mapped to Java instances of classes in JavaIndorGML, we are able to handle indoor spatial information with ease.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:51 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Taking dynamic web mapping to 1:100000 scale

CartoDB is growing to be one of the biggest mapping platform for the masses, being powered by a fully open-source stack, with PostgreSQL, PostGIS, Mapnik and Leaflet at its core. Our aim is to democratize map and geographical data visualization, making it easy for non-GIS people to create simple maps using the CartoDB Editor, but still keeping all the power and flexibility of the underlying components available to advanced users, with a variety of building blocks ranging from the frontend with CartoDB.js and Torque to the backend with the Map, SQL and Import API, parts of what we call the CartoDB Platform. Serving dozens of millions of map tiles daily has its own set of problems, but when they are being created by hundreds of thousands of users (which have their own database and can alter everything from styling, to the data sources and the SQL queries applied) everything turns out to be a big source of challenges, both development and operationally speaking. This talk will go through our general architecture, some of the decisions we’ve had to take, the things we’ve learned and the problems we’ve had to tackle through the way of getting CartoDB to scale at our level of growth, and how we're giving back to the community what we've discovered though the process.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:27 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Earning Your Support Instead of Buying it: A How-to Guide to Open Source Assistance

More organisations are moving to use FOSS4G software to cover shrinking budgets. It is very appealing to an organization’s leaders to ditch their current proprietary software solution with the attendant saving on per user licences and ongoing maintenance costs. Obviously, if you switched to FOSS4G to get better features and scalability you should consider buying a support contract from one of the many vendors that offer them, these companies support many of the core developers directly. This way you get all the advantages of open source, prompt support and often the chance to ask for new features. However, if you (or your boss) are looking to save money then you are moving from a cash economy to a gift economy. In a gift culture you need to build up your “capital” before attempting to take too much out. For example, you’ve downloaded the software and installed it, and all looks good. Then disaster hits, you have a demo for the CIO and nothing's working; Time to hit the user list, the developer list, stack exchange. Why can’t you get an answer? Remember just because your issue is urgent to you the developers might be in the middle of a new release or adding a new feature and have more important (or fun) things to do with their time. They will notice they have never seen your name before on the list, or on Stack Exchange that you have a reputation in the single digits – thus you are a newbie. There’s no harm in that but wouldn’t it be better to have got that out of the way before your emergency. You could have built up your reputation by asking some questions earlier especially questions like “what can I do to help?” or “I found an unclear paragraph in the install instructions, how do I fix it for you?” on a mailing list. On StackExchange you can build reputation by asking good questions and by answering other people’s questions. Once you’ve banked some capital there are still good and bad ways of asking a question. Developers are busy people (the GeoTools users list has 20-30 messages a day for example) no one has time to read all of them closely. If you use a poor subject (e.g. "Help!!!!") or don’t provide a clear description of the problem (e.g. “it crashes”) then the odds of being ignored are huge. It can be tempting once you have found a helpful developer to keep emailing them directly, but this is likely to lead a polite(ish) reminder to keep to the list so that everyone can benefit or silence. This talk will show how to be a better open source citizen and get a better answer than RTFM when your project is stuck and the demo is the next day. The author will share his experience with helping users and developers on the GeoTools and GeoServer mailing lists and as a moderator on gis.stackexchange.com.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:44 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Building OpenLayers Applications with QGIS

OpenLayers 3 is a powerful mapping library that can be used to create interactive mapping applications. Although it has a simple, intuitive and well-documented API, it requires knowledge of JavaScript to use, and no tools exist to leverage its functionality for more general GIS users. This presentation introduces an open-source QGIS plugin that creates web applications based on OL3, without the need of writing code manually. Elements of the web app are defined using a simple GUI, and QGIS GUI elements are used as well to define its characteristics (for instance, for defining the styling of layers or the extent of the view). The plugin can create different types of web apps, from simple maps used to browse data layers, to rich ones with GIS-like functionality, as well as others such as narrative maps. Apart from being an interface for writing OL3 code in a graphical way, it automates data deployment, and can import data into a PostGIS database or upload layers to a GeoServer instance. Altogether, these capabilities, along with QGIS data management functionality, allow to create a web app from QGIS in a very short time, as well as modifying or improving it later.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
19:50 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

WPS Benchmarking Session

The yearly Web Processing Service (WPS) benchmark. Variuos WPS implementations will be tested regarding their capabilities, compliancy to the standard and performance. Traditionally, each participating project designates individuals from their community to participate in this talk to introduce their project and summarize its key features. The focus this year will be on compliancy and interoperability. We will present the test set-up, participating WPS projects and the results of the benchmark.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:33 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

Early stages of urban developments such as housing construction, new town development and urban regeneration are performed through the spatial analysis using the topographic map, cadastral map, zoning map and other various kind of thematic maps for the proposed site analysis, feasibility analysis and evaluation of urban development alternatives. For these analyses, urban developers traditionally have used commercial software like ArcGIS to analyze these kinds of projects. And giant Korean public urban developer like Korea land and Housing Corporation (LH) has support these projects based on the in-house enterprise GIS system. But developing countries facing rapid urbanization near the peripheral areas of metropolitan region cannot handle such problems only using the commercial software. They need knowledge and experience about the urban development rather than complicated software based analysis techniques or large investments on the enterprise GIS system. In this sense, FOSS4G (Free Open Source Software for Geospatial) are very useful tools in that they are easy to learn, use and also relatively cheap to maintain. LH has accumulated a lot of urban development cases and wants to store this knowledge to FOSS4G based spatial analysis as a rule base. By doing so, it can manage the fast growing cities sustainable. In this presentation, we will show some conceived urban development project faced by the rapid urbanizing cities and suggest FOSS4G based spatial analysis method using the FOSS4G like QGIS plug-in.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:05 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

With 43,000 square kilometers of rice producing farm lands, the Philippines is considered as the largest rice importer in the world according to World Rice Statistics (2008). The increasing demand for imported rice in the country has been largely attributed to topography, underutilized farm infrastructures, typhoons and rapid population growth. Given the need to supply a stable food source to Filipinos, the Department of Agriculture (DA) has been studying the feasibility of the mass production of Coix lacryma-jobi L or Adlai, a traditional food source abundantly grown by indiginous people in the country for centuries. In contrast to rice, Adlai is naturally resilient to pests, diseases, droughts and floods, and does not need irrigation. In its study, the Department of Agriculture wanted to evaluate the adaptability of Adlai in different parts of the country for it to become a complementary staple food for Filipinos. The results of the tests in four regions (II, IV, V, and IX) have been very promising. The study found that Adlai does not need fertilizers and insecticides, it can survive with minimal rainfall, and it can be planted in upland areas. To complement the current work of the Department of Agriculture, this study aims to map the agro-edaphic zones or the areas that are suitable for the cultivation of Adlai. It will apply free open source software (QGIS) and open data sources (ASTER GDEM, PhilGIS, and DA). The selected set of variables (slope, elevation, and soil order) will be cross tabulated, and the result will represent generalized classes of associated soil orders in combination with both elevation and slope. The result of this study could then be utilized by the Department of Agriculture to determine areas in Region 11, excluding the arable land for rice, that are suitable for the cultivation of Adlai. Sources: Japan-Space Systems, Phil GIS, Manila Observatory, Environmental Science for Social Change, Department of Agriculture, Bureau of Agricultural Research.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:37 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Gis Server with Golang.

GIS Server architecture with Golang. Find the better way of Golang GIS Server.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:04 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

We propose one of the practical case that the students are able to handle Geospatial Information and to make a map by using the FOSS4G. In recent years, the informatization of education is progressing in Japan. Its aim is to distribute one information device per one child in 2020 by informatization of education. However, it is not easy to implement the information device as the educational method. It is the same situation with respect to geographic information technology for education. From such a background, we founded the NPO in order to help the school by using a geographic information technology in 2011. We have carried out some of technical workshops for teachers, development of GIS teaching materials, and the provision of curriculum. Especially it is important to use geographic information technologies in geographical and historical education. In the classroom of geography and history, students can understand with realistic by using the GIS teaching materials. Therefore, we provide the teaching materials created by GIS for teachers or students. GIS can develop the teaching materials to maximize the imagination of students. Mainly, we have been using QGIS in the development of teaching materials. The KML file is an output from QGIS. The method is to provide database system in web by KML file materials. The name is OpenTextMap. The FOSS4G have been effective in this activity. Our goal in this talk is to share the educational practice by FOSS4G to other people.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:50 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

Today's web browsers, their rendering engines and JavaScript interpreters are able to display relatively big amounts of vector data. Moving from DOM rendering (as it was implemented with help of SVG in for examples OpenLayers 2) to Canvas (and further to WebGL -- as we are now having in OpenLayers 3 or Leaflet) enables us to display thousands of complex vector features, with complicated on-client vector data styling. With this possibility, we are facing now new types problems: how to send such amount of data through limited internet connection? If we have closer look at the problem, we can see clearly, that old database paradigm has raised one more time: we can not have all three attributes of data in one pot, but only 2 of them: speed of the delivered data or amount of delivered data or their topicality. If we take this limits into account and decide to deal with big amounts of data in fast way, topicality must be sacrificed. In the talk, we will demonstrate some possible solutions for this problem, using tiled vectors, generalization, aggregation of vector data. Also advantages, disadvantages of various new and popular vector formats, such as GeoJSON, TopoJSON or MapBox will be discussed. Geometric data do not have be rendered all the time in all scales and over whole area of interest, but only necessary portion of them. If displayed in smaller scales, aggregation and generalisation can take place on the server side. That implies, that using vector caching mechanism could be considered as well. But if we need direct interaction of the server input with cached vector data, mechanism for this must be defined as well. Also attribute data have to be transfered separately, if all the optimisation was put in the vector geometries. Also possible steps between cached data and real-time data will be discussed.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:31 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

The way to go with WPS

How to find your way in difficult terrain, with obstacles, hazards, and deep snow? We present a solution for cross-country path planning and mobility, based on OSGeo software and open data. A large graph representing terrain, roads, and paths is stored in PostGIS for use with the pgRouting module of shortest path algorithms. The graph is based on detailed topography, soil type and vegetation data, and edge weights can be adapted for hikers and vehicles. The application is service oriented and held together by the Web Processing Service (WPS), the OGC interface standard for computation-oriented web services. A key component is the ZOO WPS server. The presentation will discuss WPS benefits and describe graph and weight generation, including challenges such as accounting for dynamic data about temporary hazards, weather, etc.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:49 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Temporal Maps leading to new views in Spatial Analysis

Cloud-based mapping technologies are changing the way that the world interacts with GIS. Technologies that allow for aggregate querying of data that is both geospatial and temporal presents unique challenges and fruitful lines of inquiry. At CartoDB, we are pushing ahead with new ways of looking at spatio-temporal data visualization--which we have named Torque--, with intriguing results for both scientists and journalists. In this session, we will present use cases that offer unique ways of looking at data. We will also present challenges that lie ahead with our unique technology. My background in mathematical physics studying timeseries analysis has led to interesting insights and crossovers with the developers/hackers that originated the underlying technology. I hope to present the many lessons we've learned from Torque.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:46 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

The presentation is about the development and application of CourtVisionPH. CourtVisionPH is a system developed for the extraction, storage, and analysis of basketball-related spatial information. It focuses on the extraction of field goal attempt (FGA) locations from broadcast basketball videos and the spatial analysis of shooting by means of statistics and maps/visualizations. The system was developed using the Python Programming Language. It features a database for storing spatial and non-spatial information and a Graphical User Interface (GUI) to help the user and the system interact. The modules used in the development include Tkinter for the GUI, SQLite for the database, Numpy for the computations, Pillow for image processing, and OpenCV for video rendering. The system has three independent but interconnected functionalities each with its own specific task: (1) Data Management which handles database connections, (2) Spatial Data Extraction for user-assisted extraction of FGA locations from videos using 2D-projective coordinate transformation and validation of transformed FGA locations sing RMSE and back-transformation, and (3) Spatial Analysis that computes statistics, generates maps/visualizations, and query-based analysis. After the development of the system, it was applied on UP Fighting Maroons and the DLSU Green Archers during the 2nd Round of University Athletics Association of the Philippines (UAAP) Season 76 (2013-2014). Videos publicly available online through youtube.com were used for extracting field goal attempt locations. Shots taken too far from the basket (half-court heaves, etc.) or those with bad RMSE or back-substitution results were excluded from the extraction. The extracted FGA locations were then validated using box-scores. Afterwhich, the system was used to analyze and compare the two teams and their players using statistics and visualizations and show that spatial analysis provides more information and allows for better characterization and appreciation of shooting than conventional, non-spatial techniques.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:23 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

In recent years, large-scale disasters have occurred in the countries of Asia including Japan, rapid collection and sharing of disaster information is required in order to provide relief and support speedy restoration of civic services. This presentation discusses the integration and customization of FOSS4G field survey tools and Web GIS server to facilitate aggregation and rapid sharing of disaster related field information. Further, the system also provide realtime interaction between field party and coordination team. A case study of practical use of the system at the Osaka Water General Service (OWGS) Corporation will be demonstrated to present the salient features of the system. The main capability of the system usability is normal as well as disaster situation will be highlighted.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:48 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

New QGIS functions for power users

QGIS has seen a large amount of new functions and improvements during the last few years. And there is still more to come. This presentation shows the most recent changes and new functionalities in the codebase after version 2.8, both from a users and from a technical point of view: Curved geometries have long been a missed feature in FOSSGIS Desktop solutions, with such geometries usually ending up being segmented on import. A rewrite of the QGIS Geometry core now allows for native support of a number of curved geometry types, such as CircularString, CompoundCurve, CurvePolygon, etc., in addition to the traditionally supported Point, Line and Polygon geometries. As part of the redesign, proper support for M and Z coordinate values was also implemented for all supported types. Geometry errors can easily sneak into large datasets, either because of inexact data acquistion, but also due to gradual loss of precision when importing, exporting and converting the datasets to different formats. Manually detecting and fixing such issues can be very time consuming. To assist users confronted with such problems, the 'Geometry checker' has been developed. It provides the functionality to test a dataset for geometry and topology issues (such as duplicate nodes, overlaps, gaps, etc), presenting a list of detected faults. For each error type, the plugin offers one more more methods to automatically fix the issue. A third new function in the geometry domain is the snapper plugin. It allows to automatically align the boundaries of a layer to a background layer (e.g. align the parcel boundaries with a road background layer).
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:31 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Dynamic dashboards with D3.js and CartoDB

NextGIS has been busy working on a new stack of geospatial software for the past few years and we're finally ready to present what we've accomplished. Our stack consists of 4 major components: web (NextGIS Web), mobile (NextGIS Mobile), desktop (NextGIS QGIS) and data management (NextGIS Manager). Three of those components are brand new, developed by NextGIS alone and were released just recently. For the fourth component, we participate in QGIS development since 2008 and use its codebase for our desktop component. The main focus of the stack is tight integration, ease of use and modularity. New stack features unique features, to name just the few: plugable renderers for NextGIS Web, multi-layer support for NextGIS Mobile, super-fast rendering and great formats support for NextGIS Manager and all-around integration with NextGIS QGIS. The presentation will provide an overview and will look at general architecture, use cases and plans for future development.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
1:03:54 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

FOSS4G Seoul 2015 - panel discussion

  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:00 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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

Government is a great sector in which to use geospatial technology to solve problems at scale. This geospatial technology typically has varying degrees of quality and cost as you would expect in any market. Combine the two with the fact that the ecosystem of systems, large and small, is very diverse, creating varying challenges. With this in mind, governments are now realizing how their decisions impact their future capabilities. In this talk, we will discuss GeoPackage, an OGC encoding standard and the challenges it was created to solve. We were encountering a problem with how data was being created, disseminated, and used. With the rise of mobile computing devices raster images in various native formats were being disseminated to a wider audience to use and visualize information. These raster images were typically enormous and uncompressed in some cases and compressed but painfully slow in other cases. Computing resource availability varied across computing environments. Some end users were converting these large raster images to more friendly or optimized formats to do their daily jobs. This leads to massive data reprocessing efforts across many different areas, all of which are mostly avoidable if the source would simply produce relevant, fast-performing data in a format that satisfies the broadest audience. Many vendors have tried to solve this problem with their own custom or proprietary solutions. Full stack vendor solutions come with hefty price tags in the form of licenses, support contracts, or sometimes both. These solutions can and often do solve the immediate problem however they have side effects that reach far beyond the immediate. Vendor-specific technology islands therefore appear, beholden to a certain proprietary implementation simply because it would be too expensive or too involved to do otherwise. Proprietary data created for one system did not necessarily work in another system. Tools needed to be created, re-created, or modified to handle formats that did not work on their target platform. Data interoperability between geospatial groups is the first casualty. Glue code is then created to bridge the gap between the offending incompatible data and the desired data format of the new end-user. Government entities are quickly realizing that this makes no sense. Extra processing causes bottlenecks in downstream workflows and can quickly cause untenable requirements in areas like disaster recovery. Incompatibility in data makes it even harder to share crucial information between government organizations and non-government organizations alike. It is with these types of open standards that governments can maintain the control of their data creation and management. GeoPackage was created to free data from the constrictions of proprietary formats and is already paying dividends to government groups. Current GeoPackage development tools will be discussed as well as how early adopters are leveraging this new data specification and subsequent tools to push geospatial products to the end user.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:21 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

An On-board Visual-based Attitude Estimation System For Unmanned Aerial Vehicle Mapping

A visual-based attitude estimation system aims to utilize an on-board camera to estimate the pose of the platform by using salient image features rather than additional hardware such as gyroscope. One of the notable achievements in this approach is on-camera self-calibration [1-4] which has been widely used in the modern digital cameras. Attitude/pose information is one of the crucial requirements for the transformation of 2-dimensional (2D) image coordinates to 3-dimensional (3D) real-world coordinates [3]. In photogrammetry and machine vision, the use of camera’s pose is essential for modeling tasks such as photo modeling [5-8] and 3D mapping [9]. Commercial software packages are now available for such tasks, however, they are only good for off-board image processing which does not have any computing or processing constraints. Unmanned Aerial Vehicles (UAVs) and any other airborne platforms impose several constraints to attitude estimation. Currently, Inertial Measurement Units (IMUs) are widely used in unmanned aircrafts. Although IMUs are very effective, this conventional attitude estimation approach adds up the aircraft’s payload significantly [10]. Hence, a visual-based attitude estimation system is more appropriate for UAV mapping. Different types of approaches to visual-based attitude estimation have been proposed in [10-14]. This study aims to integrate optical flow and a keypoints detector of overlapped images for on-board attitude estimation and camera-self calibration. This is to minimize the computation burden that can be caused by the optical flow, and to fit in on-board visual-based attitude estimation and camera calibration. A series of performance tests have been conducted on selected keypoints detectors, and the results are evaluated to identify the best detector for the proposed visual-based attitude estimation system. The proposed on-board visual-based attitude estimation system is designed to use visual information from overlapped images to measure the platform’s egomotion, and estimate the attitude from the visual motion. Optical flow computation could be expensive depending on the approach [15]. Our goal is to reduce the computation burden at the start of the processing by minimizing the aerial images to the regions of upmost important. This requires an integration of optical flow with salient feature detection and matching. Our proposed system strictly follows the UAV’s on-board processing requirements [16]. Thus, the suitability of salient feature detectors for the system needs to be investigated. Performances of various keypoints detectors have been evaluated in terms of detection, time to complete and matching capabilities. A set of 249 aerial images acquired from a fixed wing UAV have been tested. The test results show that the best keypoints detector to be integrated in our proposed system is the Speeded Up Robust Feature (SURF) detector, given that Sum of Absolute Differences (SAD) matching metric is used to identify the matching points. It was found that the time taken for SURF to complete the detection and matching process is, although not the fastest, relatively small. SURF is also able to provide sufficient numbers of salient feature points in each detection without sacrificing the computation time.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:10 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Landmark Based Path Planning with a Linear Map Display For Mobile Map Applications

Landmarks are yet to be integrated with mainstream mobile phone based navigation aids. In geographical regions where land marks are commonly used by the community for navigation support, the lack of them in electronic navigation aids make them less useful for such communities. In this study a land marks based navigation model is derived considering the value of them for local community in Sri Lanka. The landmarks can be prominent or not, make sense only during certain time of the day or been important differently for people with different age groups. We assume that the attributes of landmarks can be used to give a strength value for them for navigation. In this study three parameters, the visibility of them at different time of the day, the horizontal spread of the landmark and the height of them are considered as attributes which gives strength to a landmark. First, to give more importance to landmarks, we have developed an algorithm where not only the distance of a route but the strength of landmarks is also considered when selecting the best route to navigate. The A* Algorithm is used as the base which output possible shortest paths considering only the distance. This algorithm was enhanced to output the optimum paths considering both the distance and the strength of landmarks along it. If the route is having more strength related to landmarks, it is prioritized. The route��s strength is defined based on number of landmarks visible along it and the strength of them. In order to calculate the number of landmarks along a route a landmark buffer is used. The day/night visibility and the height/spread are used to calculate the strength of the landmarks along the route. We have identified that after placing landmarks on a mobile screen which have limited size, the map become too congested and it becomes difficult to read the navigation path. This is more prominent when the path is having many turns. Therefore, secondly, to utilize the limited mobile screen in more effective manner, we reduce the selected path to a linear map which shows the path reducing curves but emphasising the turns by markers. The linear map shows landmarks around significant turns and provides guidance based on landmarks. The turn confirmations are calculated based on landmarks. Douglas-Peucker algorithm is used to derive the linear path and is enhanced to identify turns and show the landmarks around those turns. A prototype implementation is done using mobile web approach to reduce the platform dependency. In the simple mobile web application developed, jQuery mobile, and php are used for the user interface development and server side implementations respectively. PostgreSQL with postGIS capabilities and pgRouting is used as a spatial database. Web services and smart queries are used to implement the basic functionality communicating with the spatial database and the front end. The application is still being implemented and tested in Sri Lanka at the moment and the outcome would be reported in due course.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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Version

AV-Portal 3.7.0 (943df4b4639bec127ddc6b93adb0c7d8d995f77c)