Using FOSS4G

Mon, 2014-11-17 23:41

Empowering Refugees with Data

Refugee communities need tools and data to be empowered to advocate and improve government services provided in camps. The breakdown of public services in camps must to be collected, verified, and organized by communities in order to strengthen advocacy efforts aimed at improving the accountability of responsible authorities within camps. By building upon the OpenDataKit ecosystem, we've extended the ability to collect, verify, and visualize survey data for community led data collection efforts.

Mon, 2014-11-17 23:09

OpenDroneMap: Open Source Toolkit for processing Civilian Drone Imagery

OpenDroneMap is an Open Source Toolkit for processing Civilian Drone Imagery, or balloon imagery, or kite imagery, or even street view imagery. As small unmanned aerial systems have dropped in price and become readily affordable, software for making meaningful geographic data from civilian drones has not. Until now.

Mon, 2014-11-17 22:47

Processing the Planet

Planet Labs operates a fleet of earth imaging satellites that aims to produce an unprecedented amount of earth imagery. The software stack at Planet Labs is a primarily Open Source at many levels. I will discuss our software stack from the satellite (in brief) through our data pipeline and client facing web services summarizing some lessons learned, strength of the general Open Source and FOSS4G stacks, and components for which we developed additional capabilities.

Mon, 2014-11-17 21:58

Five years of geo Open Source evolution in a commercial setting: projects and the business ecosystem

Our company began delivering projects based on geo open source technology in late 2008. Since that time we have consistently and annually increased our use of FOSS4G in our projects. Five years later, this presentation will retrospectively look at our corporate and technological evolution including:

Mon, 2014-11-17 19:28

Integrating QGIS/Postgis into a forestry client's workflow

Small clients can be challenging. NRGS has a technology challenged client that started drowning in shapefiles in 2014. The data drowning also started causing other issues with software and workflow. During 2014 we started a slow migration into QGIS and Postgis/Postgresql. It became a bit of a challenge since we had to "throw out" bad habits and start redefining workflow and expectations. Surprisingly by the end we went from 1 to 3 GIS Capable computers using QGIS and a working PostGIS database.

Mon, 2014-11-17 19:09

Carto CSS and UTF Grids for Collaborative Mapping

Warning, this talk is about cartographers designing and building web applications. Tasked with making a mapping application for internal business use, we reached out for open source tools that could be combined to produce a platform for collaborative mapping and data sharing. We used tools like Mapbox.js, windshaft, mapnik, and PostGIS to build a web based application that allows its users to create, filter, edit, and share interactive maps and data with teams or individuals.

Mon, 2014-11-17 18:30

Advanced spatial analysis with PostGIS

You think you know PostGIS? In this tutorial you will learn what is not in the books, nor in the blogs. Pierre Racine is the one behind the PostGIS Raster API and the PostGIS Addons. He has been pushing PostGIS to its limits since 2004. He will show you how to use the most mysterious raster functions, what are the best methods to rasterize a vector coverage, how to search nearest neighbors for thousands of geometries at a time, how to clean overlaps from a vector coverage and more!

Mon, 2014-11-17 17:46

Creation, Analysis, Sharing, and Visualization of Complex Spatiotemporal Data using Free and Open Source Software at the National Renewable Energy Laboratory

Geospatial data science at the National Renewable Energy Laboratory incorporates a wide range of activities including the creation of large spatiotemporal resource datasets, modeling the technical potential of renewable energy at the national level, web based visualization of complex scenario based modeling, and sharing of both datasets and analysis methods with industry, academia, and the public through web services.

Mon, 2014-11-17 17:11

Making Sense of Sensor Data with Maps

Growth in affordable hardware for sensor data collection is inspiring distributed data mapping globally. From wearables to arduinos, non-profits and NGOs are leveraging small sensor kits as windows into environmental and ecological health, and mapping sensor data meshes increasingly informs how we appreciate the topography of our world. Still, the parsing and processing of these data in meaningful ways remains a non-trivial challenge for most organizations. At CartoDB, we're working on ways to make this more intuitive, and improve access to geo-referenced sensor data for all.

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