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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
22:56 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Analyzing Fire Department Response with PostGIS

Local government fire departments always face scrutiny of their performance and efficiency. They are continuously asked to do a better job with fewer resources. In this highly technical session we will show how PostGIS is being used to analyze and measure performance throughout the city and plan for future resource requirements. Every city we work with is unique in some way. Some fire departments act as the local ambulance service while other cities contract with private ambulance companies. Emergency “911” response centers are often managed by police/law enforcement departments but not always! Many cities also have “mutual aid” agreements with neighboring cities to assist them when needed. For our customers PostGIS stores and manages the geo-located events (fires, hazardous spills, etc.) and provides details about the departments and individual emergency vehicle performance. It is most interestingly used to create statistical reports about things such as “Effecive Response Force” and “Resource Drawdown”, which are used to measure the efficiency and effectiveness of the department. Please come to learn how PostGIS is used to analyze things such as primary response areas and fire hazard severity zones, allowing our customers to ask more advanced, geographically based questions.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:49 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Semantic assessment and monitoring of crowdsourced geographic information

Whilst opensource software allows for the transparent collection of crowdsourced geographic information, in order for this material to be of value it is crucial that it be trusted. A semantic assessment of a feature’s attributes against ontologies representative of features likely to reside in this location provides an indication of how likely it is that the information submitted actually represents what is on the ground. This trust rating can then be incorporated into provenance information to provide users of the dataset an indication of each feature’s likely accuracy. Further to this, querying of provenance information can identify the features with the highest/lowest trust rating at a point in time. This presentation uses crowdsourced data detailing the location of fruit trees as a case study to demonstrate these concepts. Submissions of such crowdsourced information – by way of, say, an OpenLayers frontend – allow for the collection of both coordinate and attribute data. The location data indicates the relevant ontologies – able to be developed in Protégé – that describe the fruit trees likely to be encountered. If the fruit name associate with a submitted feature is not found in this area (e.g. a coconut tree in Alaska) then, by way of this model, the feature is determined to be inaccurate and given a low trust rating. Note that the model does not deem the information wrong or erase it, simply unlikely to be correct and deemed to be of questionable trust. The process continues by comparing submitted attribute data with the information describing the type of fruit tree – such as height – that is contained in the relevant ontologies. After this assessment of how well the submitted feature “fits” with its location the assigned trust rating is added to the feature’s provenance information via a semantic provenance model (akin to the W3C’s OPM). Use of such semantic web technologies then allows for querying to identify lower quality (less trustworthy) features and the reasons for their uncertainty (whether it be an issue with collection – such as not enough attribute data being recorded; time since collection – given degradation of data quality over time, i.e. older features are likely less accurate than newer ones; or because of a major event that could physically alter/remove the actual element, like a storm or earthquake). The tendency for crowdsourced datasets to be continually updated and amended means they are effectively dynamic when compared to more traditional datasets that are generally fixed to a set period/point in time. This requires them to be easily updated; however, it is important that efforts are directed at identifying and strengthening the features which represent the weakest links in the dataset. This is achievable through the use of opensource software and methods detailed in this presentation.
  • 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
31:05 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

OSGeo and LocationTech Comparison

We have two great organizations supporting our Free and Open Source Software for Geospatial: The Open Source Geospatial Foundation and LocationTech. Putting on events like FOSS4G is primary responsibility of these software foundations - supporting our great open source software is! This talk will introduce OSGeo and LocationTech, and balance the tricky topic of comparison for those interested in what each organisation offers. We will also look at areas where these organizations are collaboration and explore possibilities for future work. Each of these software foundations support for their existing projects, ranging from "release parties" such as OSGeo Live or the Eclipse Annual Release. We are also interested in the ��incubation�� process each provides to onboard new projects. Review of the incubation provides an insight into an organization's priorities. This talks draws the incubation experience of: * GeoServer (OSGeo), GeoTools (OSGeo), * GeoGig (LocationTech), uDig (LocationTech) If you are an open source developer interested in joining a foundation we will cover some of the resource, marking and infrastructure benefits that may be a factor for consideration. We will also looking into some of the long term benefits a software foundation provides both you and importantly users of your software. If you are a team members faced with the difficult choice of selecting open source technologies this talk can help. We can learn a lot about the risks associated with open source based on how each foundation seeks to protect you. The factors a software foundation considers for its projects provide useful criteria you can use to evaluate any projects.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
18:37 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Satellite Snow Cover Products Evaluation and Validation Platform Developed Entirely With Floss Software

The monitoring of snow cover extent is important for the management of natural resource, extreme events prediction such as snowmelt floods, avalanches etc. The current status is that the network of weather stations is too sparse in regions with seasonal snow cover to provide reliable snow monitoring and impact applications. Remote sensing can regularly provide maps of snow cover extent, under limitations imposed by satellite cycles or cloud cover. A number of daily or synthesis snow cover extent products, covering Romania, with different resolutions and specifications, are available for free (e.g. GLOBSNOW, CryoLand, H-SAF, IMS). These products were homogenized and included, along with reference and in-situ data, into an application that make possible for user to inspect, process, analyze and validate the information, using a web based interface. The platform, created by National Meteorological Administration of Romania offers services based on Open Geospatial Consortium standards for data retrieval (WMS, WCS, WFS) and server-side processing (WPS, WCPS). The services were built upon open source solutions such as GeoServer, OpenLayers, GeoExt, PostgreSQL, GDAL, rasdaman. The application is composed of several software modules/services. The modules are split into two categories: server-side modules/services and client side modules - responsible for interaction with the user. A typical usage scenario assumes the following steps: 1. The user is operating the client functionality to select a temporal and spatial slice from a product cube (e.g. 5 months archive of daily CryoLand FSC data); 2. The users select a statistic method to be applied; 3. The request is sent to the server side processing applications wrapped as WPS or WCPS calls; 4. The process will trim/slice the coverage cube, perform the statistic operation for the pixels within the ROI for each day in the selected time interval; 5. The results are sent back encoded in a standard file format; 6. The web client display the results in a relevant form.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:33 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

GeoServer for Spatio-temporal Data Handling With Examples For MetOc And Remote Sensing

This presentation will provide detailed information on how to ingest and configure SpatioTemporal in GeoServer to be served using OGC services, with examples from WMS and WCS services. Topics covered are as follows: * Discussion over existing data formats and how to preprocess them for best serving with GeoServer * Configuring SpatioTemporal raster and vector data in GeoServer * Serving SpatioTemporal raster and vector data with OGC Services Tips and techniques to optimize performance and allow maximum exploitation of the available data The attendees will be provided with the basic knowledge needed to preprocess and ingest the most common spatiotemporal data from the MetOc and Remote Sensing field for serving via GeoServer.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:21 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

High-precision open lidar data enable new possibilities for spatial analysis in the canton of Zurich/Switzerland

The department of geoinformation of the canton of Zurich/Switzerland has carried out a high-resolution laser scanning (LIDAR) last year over the entire canton of Zurich. The extensive data (8 pts / m2) have now been evaluated, and a digital surface (DSM) and terrain model (DTM) created (dot grid of 50 cm and horizonal and vertical accuracies of 20 cm, resp. 10 cm. This is the first time high-resolution elevation data is widely available for the entire canton of Zurich. In the past, lidar data have been collected only for small-scale projects. As a novelty, the department has decided to provide the lidar data and its derived products, i.e. DTM and DSM, as open data to the public. With this decision new standards are set not only in terms of accuracy and scope, but also in the usage as open government data. The lidar data can provide valuable support for example in the areas of infrastructure, urban planning, regional planning, natural hazard assessment, forestry, environment, energy, line survey, solar potential analysis, surveying, archeology, agriculture, water or noise. Due to the planned repetition cycle of four years even time series and monitoring projects are possible. Therefore it is not surprising, that since the opening as open data, many interesting applications using this data have been created. The presentation will show the high-resolution data and its possible usage for terrain-visualizations. A selection of the most appealing visualizations will be demonstrated, e.g. an Oculus Rift version enabling the user to navigate through virtual reality. It will further give an insight in the challenge of opening up the LIDAR?data for the public, i.e. setting up an open-data strategy in the cantonal administration of Zurich.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:10 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

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 multidimensional raster data (NetCDF, GRIB, HDF) and mosaic thereof will be introduced, as well as the available ways to manage sliding windows of data via the REST API and importer. Extensive details will be provided on the latest updates for the management of multidimensional raster data used in the Remote Sensing and MetOc fields, including support for WCS EO and WMS EO, and some considerations on the WCS MetOc extensions. The presentation will also introduce and provide updates on jai-ext, imageio-ext, and JAITools. jai-ext provides extended JAI operators that correctly handle NODATA and regione of interests (masks), JAITools provides a number of new raster data analysis operators, including powerful and fast raster algebra support, while 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: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:29 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Opening Address Data around the World

With over 110 million points, OpenAddresses.io has grown to be the largest open database of address data in the world. Governments, developers and businesses are realizing that address data belongs in a commons where it can be easily maintained, used by all, and drive economic growth. These early efforts are now powering some of the world's best commercial geocoding systems, as well as crucial infrastructure like emergency responders. But there's more work to do. We need to reform outdated laws, expand coverage to new cultural contexts, untangle shortsighted licenses, and invent new modes of collaboration between the public and government. We'll cover how OpenAddresses started, how it can be used today, and how we expect it to grow into a definitive global resource.
  • 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
29:02 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Improving public health delivery in northern Nigeria using open source technologies

  • 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
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
21:27 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Decision-making system for grants for maintaning services in rural areas

Sweden is a sparsely populated country. Normally market forces would regulate the number and location of both public and commercial services as schools, medical care, grocery stores and pharmacies. In sparsely populated areas these forces does not work. The Swedish government has realized this and gives economical support to some services in order to maintain or in some cases expand the service level. The aim with this grants is to provide conditions for living, working and contribute to economic growth in these in remote areas. To be as effective as possible a decision making system has been developed to support the administrators of the grant. The system allows the administrators to monitor the current situation, update changes in the service structure and simulate fictive scenarios. The system is built on an open source platform and is available through the internet to authorized administrators on the regional level of the Swedish administration. As platform for the system the following open source projects and formats are used GeoExt, Ext JS, Openlayers, Mapfish, Pylons, GEOAlchemy, Mapserver, PostGIS, GeoJSON.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:12 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

OpenDroneMap, Next Steps: Toward optimization and better 3D modeling

OpenDroneMap is an open source toolkit for processing drone imagery. From raw imagery input, it outputs a georeferenced pointcloud, mesh, and orthophoto. This is a powerful toolkit to change unreferenced arbitrary images into geographic data. Next steps in the project are needed to improve optimization of underlying algorithms, steps to better create meshes / textured meshes from the resultant pointclouds by explicitly modeling surfaces, and to make better output data from lower quality inputs. Come and see where the project is at, how the state of the art is advancing, and how you can use it and contribute.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:21 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

OGC GeoPackage in practice: Implementing a new OGC specification with open-source tools

GeoPackage is a new encoding standard created by the Open Geospatial Consortium as a modern alternative to formats like SDTS and Shapefile. Using SQLite, the single-file relational database can hold raster imagery, vector features and metadata. GeoPackage is an ideal data container for mobile devices such as smartphones, IoT devices, wearables, and even automobiles. We have created a few open-source tools to manipulate this exciting technology in a way that is useful to the geospatial community. Our goal with the GeoPackage specification implementations is simple: Create GeoPackages quickly and reliably while maintaining standard conformance. The single biggest issue we have faced is the speed in which large amounts of imagery can be disseminated to the end user. Data standards reliability was also a concern because we found many vendors interpreted the specification differently or to suite their own needs. Finally, the main problem GeoPackage was created was to solve was interoperability. We set out to create an implementation that would guide other parties towards making a data product that would function as well on one platform as it would on a completely different platform. Our initial implementation of the GeoPackage specification was created using Python 2.7.x. The software design was intended for command line use only in a script-friendly environment where tiling speed was paramount. The Gdal2tiles.py script was improved upon by harnessing the Python multiprocessing library so that multiple tile jobs could run simultaneously. The other piece of the workflow, creating GeoPackages, would be a separate development effort from scratch called tiles2gpkg parallel.py. In tiles2gpkg parallel.py, we implemented multiprocessing by writing to separate SQLite databases in parallel and then merging the tiled data sets into one compact database. This implementation worked well and increased the performance of producing these data sets; however, the command line design means that all but the most technically adept users would struggle to use the tools. With the initial Python implementation getting early-adopters a preview of GeoPackage in the short term, our team set out to make a production-quality GeoPackage API that could satisfy all user needs. Named Software to Aggregate Geospatial Data or SWAGD, we created a robust library for tiling raster data, packaging raster data stores into GeoPackages, and viewing either the raw tiles OR the finished GeoPackage products within a map viewer. Additionally, a Geopackage verification tool was created to foster community adoption. For more information, see our Github site here: https://github.com/GitHubRGI/swagd. Many open-source tools are being leveraged on the SWAGD project, including many common build and continuous integration tools including Github, TravisCI, WaffleIO, and Coverity. Using proven software development mechanisms like unit testing and code reviews we now have a consistent, reproducible, and inclusive GeoPackage implementation. We have an aggressive list of future capability that we would like to develop including ad-hoc routing on a mobile device, vector tile data sets, and even 3D support.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:29 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Leaflet vs. OpenLayers: which is best for our indoor maps?

Leaflet and OpenLayers are two well-known javascript libraries for embedding interactive maps in a web page, and each of them comes with pros and cons which are not obvious. Having worked with both libraries for indoor applications, we will in this presentation offer insight on which of them is more suited to a variety of situations and requirements, and which challenges they should overcome in the future.
  • 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
21:12 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

MapCache: Fast and Featureful tile serving from the MapServer project

MapCache is a tiling server component designed to be efficient while still comprising all the features expected from a modern tiling solution. This presentation will give a brief presentation of the MapCache tiling solution, along with the recent developments that were added to reply to the needs of large scale installations (cache replication, load balancing, failsafe/fallback operations, large cache management, etc...)
  • 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
16:10 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

GIS Policy Map for Local Government in Korea: Story of Dobong-gu, Seoul

Local governments in Korea are trying to solve urban problems using GIS policy map. Through FOSS4G Seoul, I want to introduce example of Dobong-gu, Seoul. Topic 1. Spatial Analysis of Practical Requirements of Parking Lot The residents who live in the old residential zone in Dobong-gu are suffering from shortage of parking spaces every morning and night. Most administrators are using an indicator named ‘a ratio of cars to parking spaces’ to judge seriousness of the problem with parking. But the indicator cannot reflect reality. We measured practical requirements of parking lot spatially, using micro block data and car registration data with addresses. We tried to look at things from the resident’s perspective, not from administrator or provider. Now, Dobong-gu push ahead with sharing parking lot program with houses which have spare parking spaces. Topic 2. Civic Participation Model for Solving Children’s School Walkway Safety Problems. Office of Policy Development of Dobong-gu did a survey with a thousand residents about safety issue, and many of them answered that they feel fear walking down the alley. Although the Office got the policy implication from survey, they couldn’t convince the definition of ‘alley’ and accurate location where the residents feel fear. Office and we redesigned survey paper cooperatively. The improvement point was ‘Map-based Survey’. Elementary school students and their parents participated and they lined school walkway and alleyways where they felt fear on paper map. We migrated all the lines on papers to shape files using QGIS, then we got a very satisfactory outcome. Office of Policy Development added LED lights to the dark street nearby elementary school, Elementary school teachers decided the walkway guidance spot by referring to students often jaywalk.
  • 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
10:26 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Keynote speech - Geospatial Information for the UN Secretaiat and Peace Operations

  • 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
15:09 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

An open source GIS application for scientific national park management

This presentation introduces application cases of open source GIS for scientific national park management in Korea. Korea National Park Service (KNPS) is a public organization that manages almost all domestic national parks. GIS is a core technology for the park management, but the cost of commercial software had been limited the diffusion of GIS. Now, park rangers of KNPS are using QGIS that is a representative open source geospatial software, and they make themselves various GIS and remote sensing-based maps. For this, KNPS launched a QGIS education program for employee training. As a result, they started making maps using QGIS and many useful plugins, including Animove for QGIS, Semi-Automatic Classification Plugin (SCP), and Oceancolor Data Downloader. A variety of natural resources maps can be made from GPS field data, and time-series satellite images can be processed into climate change effect maps such as forest health, sea surface temperature (SST). Moreover, a graphical modeler feature of QGIS enables an automatic data processing. The Drone Flight Simulator called Park Air System, is also being developed using open source geospatial libraries. Using QGIS, KNPS makes all geospatial data like a trail, facility, and natural resources and is opening to the public freely. KNPS won the President's Prize in 2014 for the hard work.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
13:04 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Ocean data Interpolation using Open Source GIS

Using the data of the Republic of Korea Marine waters around introduce a data visualization method through interpolation.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
19:55 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

State of GeoServer

State of GeoServer reviewing the new and noteworthy features introduced in the past year. The project has an aggressive six month release cycle with GeoServer 2.7 and 2.8 being released this year. These releases bring together exciting new features. A lot of work has been done on processing services with clustering, security and processing control. The rendering engine continues to improve with the addition of color blending opening up a range of creative possibilities. The CSS extension (used to easily generate OGC standard styles) has been cleaned up with a rewrite. This talk will highlighted updates on data import, application schema use, data transforms and the latest from the developer list. Attend this talk for a cheerful update on what is happening with this popular OSGeo project. Whether you are an expert user, a developer, or simply curious what these projects can do for you, this talk is for you.
  • 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
29:12 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Protecting the Planet with Postgis: How we are calculating complex protected area coverage statistics for all countries in the world.

ProtectedPlanet.net is the online interface for the World Database on Protected Areas (WDPA), a joint project of IUCN and UNEP, and the most comprehensive global database on terrestrial and marine protected areas. The WDPA is released every month and consists of a point and polygon dataset of over 210 000 entries. Over 91% of this data is in polygon format and the remaining 8% are points that can have an area as attribute. Displaying protected area coverage statistics is one of the main features of this website. It is very important for the users to know what percentage of the territory is covered by protected areas in a given country, region or the entire planet. Previously, these statistics were calculated manually and every year a team spends several days calculating them for a report using ESRI Software. We had a great challenge this time: Can we automatically calculate the statistics every month for all the protected areas and countries in the entire planet? In this case time matters: if we want to calculate statistics every month, it can't take 2 or 3 days of processing. To work through this, we chose a full open source solution with PostGIS to do all the back end tasks that we need to calculate statistics. We were able to limit all this to 6 hours and we can now run automatically every month keeping coverage statistics up to date.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:10 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Future direction for using FOSS4G: Case of Managing Early warning Systems for Monitoring Natural Hazards in El Salvador

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

AV-Portal 3.7.0 (943df4b4639bec127ddc6b93adb0c7d8d995f77c)