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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
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
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
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
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
21:21 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
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
24:02 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Fast Cache, Fresh data. Can we have it all?

  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:44 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

CartoDB Basemaps: a tale of data, tiles, and dark matter sandwiches

CartoDB is an open souce tool and SaaS platform that allows users to make beautiful maps quickly and easily from their own data. To complement our users needs, we launched last year our free-to-use open source OSM based basemaps Positron and Dark Matter (https://github.com/CartoDB/CartoDB-basemaps), designed in collaboration with Stamen to complement data visualization. While architecturing them, we had several compromises in mind: they had to be powered by our existing infrastructure (powered by Mapnik and PostGIS at its core), they had to be scalable, cacheable but frequently updated, customizable, match with data overlays, and, last but not least, they had to be beautiful. This talk is the tale of the development process and tools we used, how we implemented and deployed them and the technology challenges that arose during the process of adapting a dynamic mapping infrastructure as CartoDB to the data scale of OSM, including styling, caching, and scalability, and how (we think) we achieved most of those. I will also talk about the future improvements that we are exploring about mixing the combination of basemap rendering with data from other sources, and how you can replicate and tweak those maps on your own infrastructure.
  • 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
16:51 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Revolutionizing map use in Norwegian newspapers

Norway represents one of the countries with most newspapers and media outlets per person. One topic that has an everlasting interest is land registration data - or more commonly: Who bought which properties and what was the price. Land registration data has always been a public data set. Every citizen can request specific information on who has rights to which properties. Up until 1. January 2014 the digital version of this data set was monopolized by law to one vendor - obviously inhibiting innovation. Starting in 2014 - land registration data has been opened and is now accessible to everyone. Webatlas seized this opportunity and hired two summer interns. The task was fairly easy: "Revolutionize the way land registration data is used in local newspapers." After two hard-working months the resulting web application was used by a local newspaper with great results. The newspaper could finally showcase an interactive leaflet map displaying all real estate transactions in the area of interest. Behind the scenes the interns experienced a steep learning curve using PostGIS, GeoServer, Leaflet and a range of excellent plugins. Some of the more stable parts made it to the general use with an Open Source license on GitHub. Today. The solution is used in the majority of Norways newspapers - now showcasing more maps than ever! All made possible by two excellent interns, open data sets and well proven Open Source software components.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:46 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Use case of a dual open strategy in the canton of Zurich/Switzerland

With a dual 'open'-strategy the department of geoinformation at the canton of Zurich/Switzerland opts for a strategic orientation towards open source and open data: Open in the sense of an open web-mapping- infrastructure based on open source components: Mapfish Appserver was developed as a framework for building web map applications using OGC standards and the Mapfish REST protocol. It is freely available under the new BSD-license (http://mapfish-appserver.github.io/). The Ruby on Rails gem comes with the following out-of-the box features: - Organize maps by topics, categories, organisational units, keywords and more - Combine maps with background and overlay topics with adjustable opacity - Import UMN Mapserver mapfiles to publish new topics within seconds - Fully customizable legends and feature infos - Creation of complex custom searches - Rich digitizing and editing functionality - Role-based access control on topic, layer and attribute level - Access control for WMS and WFS - Rich library of ExtJS 4 based map components - Multiple customizable viewers from minimal mobile viewer to full featured portal - Multi-site support - Built-in administration backend - Self-organized user groups maps.zh.ch, the official geodata-viewer of the canton of Zurich, was developed using Mapfish Appserver. It contains more than 100 thematic maps and is considered an indispensable working tool for everyone working with spatial data in the canton of Z?rich/Switzerland. 'Open' in the sense of Open Government Data: Zurich is the first canton participating in the national open data portal opendata.admin.ch. The portal has the function of a central, national directory of open data from different backgrounds and themes. This makes it easier to find and use appropriate data for further projects. The department of geoinformatics aims to open as many geo-datasets as possible for the public by publishing them on the national OGD-portal. The open geodata is issued in form of web services ? Web Map Services (WMS), WebFeature Services (WFS) and Web Coverage Services (WCS) - and contains a wide range of geodata from the fields of nature conservation, forestry, engineering, infrastructure planning, statistics to high resolution LIDAR-data.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:48 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Sensor up your connected applications with OGC SensorThings API

This introduction will give an introduction and live demonstration of the OGC SensorThings API. The OGC SensorThings API provides an open and unified way to interconnect the Internet of Things (IoT) devices, data, and applications over the Web. The OGC SensorThings API is a new OGC standard candidate. Unlike many existing OGC standards, SensorThings API is very simple and efficient. At the same time, it is also comprehensive and designed to handle complex use cases. It builds on a rich set of proven-working and widely-adopted open standards, such as the OGC Sensor Web Enablement (SWE) standards, including the ISO/OGC Observation and Measurement (O&M) and Sensor Observation Services (SOS). The main difference between the SensorThings API and the OGC SOS is that the SensorThings API is designed specifically for the resource-constrained IoT devices and the Web developer community. As a result, the SensorThings API follows the REST principles, the use of an efficient JSON encoding, and the use of the flexible OASIS OData protocol and URL conventions. In addition to introduce the specification, this talk will also demonstrate an end-to-end IoT application based on the SensorUp IoT platform, an open source implementation of the SensorThings API, including a server, javascript library, web dashboard and a Arduino library.
  • 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
21:57 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Route Planning in your Database with pgRouting

pgRouting extends the PostGIS / PostgreSQL geospatial database to provide shortest path search and other network analysis functionality. This presentation will show the inside and current state of the pgRouting development, from its wide range of shortest path search algorithms to driving distance calculation or Traveling Sales Person (TSP) optimization. Additionally we will give a brief outlook and introduction of upcoming new features like the Vehicle Routing Problem (VRP) solver, and what we have in mind for future releases. We will explain the shortest path search in real road networks and how the data structure is important to get better routing results. Furthermore we will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality. You will also learn about difficulties and limitations of the library, and when pgRouting might not be not the right tool to solve your routing problem.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:32 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Research client side draggable route selection with pgRouting

pgRouting extends the PostGIS / PostgreSQL geospatial database to provide shortest path search and other network analysis functionality such as alternative K-Shortest path selection. But, in some case, client side draggable route selection (like Google Maps Direction or OSRM) is preferable. This presentation will research what is necessary to realize such client side draggle route selection with pgRouting, then try to implement the functionality to some browser(Leaflet, OpenLayers .etc) and desktop(QGIS .etc) client.
  • 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
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
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
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
23:07 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

The OpenStreetMap Revolution

OpenStreetMap is at the center of a data and software revolution that has completely changed what we expect from maps and how we interact with them. The project has defined open map collaboration, it is a cradle of open software innovation, is used by businesses and governments, enables startups against industry giants and has opened the power of GIS to the underprivileged and poor. OpenStreetMap is only one of very few commercially viable global geospatial datasets. Ten years into the project, it is clear that OpenStreetMap is not an impossible quest nor a fluke of history, but it is here to stay and grow. An amazing and growing community, this year, OpenStreetMap crossed the two million users mark. Every month, 30,000 users log into the map and improve it. And OpenStreetMap stands to attract even more attention: Data of large proprietary vendors continues to be effectively not available to a huge part of the market due to rigid licensing; rumors around Nokia's HERE changing owners are at an all time high. This talk sweeps through OpenStreetMap's history and gives a detailed look at the state of the project in statistics and visualizations, including recent map developments in Asia. It reviews OpenStreetMap's strengths and weaknesses and makes predictions for the future of OpenStreetMap. We'll finish up with opportunities and needs for the project to grow as an open data community and a suite of open source software tools.
  • 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
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
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
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AV-Portal 3.7.0 (943df4b4639bec127ddc6b93adb0c7d8d995f77c)