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31:12 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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A glimpse of FOSS4G in the environmental consulting arena

In the highly competitive world of environmental consulting, being able to manage large volumes of data and deliver timely, accurate information based on that data is critical to our ongoing success. As a relatively small company, we recognized that we needed something unique to survive and prosper in an industry dominated by huge corporations. Over the past 7 years we have made a considerable effort to shift over to a FOSS4G environment, with a belief that, not only would this decision enhance what we already do well, but give us the competitive edge we would need to ensure future prosperity.A brief presentation of a snapshot of our current FOSS4G status, how we arrived here and a workflow tour beginning at the data acquisition stage looking at the feed through our patented EDMS QA/QC system into PostgreSQL followed by a demonstration of a just a few of our many custom web/mobile/desktop applications that rely on the PostgreSQL back end database and how these solutions are able to deliver accurate and timely information to employees and clients alike, and finally, where to next.We take advantage of multiple FOSS4G including the likes of OpenLayers, MapServer, PostgreSQL/PostGIS, PHP, D3 and jQuery. This combination places us in an ideal position to respond to client needs with the ability to rapidly deliver almost any request.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
32:17 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Barriers to FOSS4G Adoption: OSGeo-Live case study

OSGeo-Live is a Linux distribution, available in virtual machine, bootable DVD, or bootable USB formats, containing a curated collection of the latest and best Free and Open Source Geospatial (FOSS4G) applications. This talk investigates the correlations between worldwide download distribution, and community participation against indicators of economic, technical knowledge and socio-cultural barriers to geospatial technology and FOSS adoption. Better understanding the barriers of technology transfer are important to the outreach efforts of the FOSS4G community, and understanding the market development potential of FOSS4G around the world.Results of an analysis of the OSGeo-Live community will be shown but the techniques discussed can be applied to any software project.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:30 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Educating 21st Century Geospatial Technology Industry Workers with Open Source Software

Where are GIS educators to go when they need educational material to teach FOSS4G in their academic programs? While commercial vendors, like Esri through their Virtual Campus, have a wealth of training material available, there are very limited resources for educators seeking to teach FOSS4G. The new QGIS Academy program is the first national effort to provide this much need academic infrastructure. The Academy has produced a set of five full GIS courses, based on the latest version of QGIS, to offer educators and others for free under the Creative Commons CC BY license. These courses have been under development since 2010 and use the US Department of Labor Geospatial Technology Competency Model (GTCM) as the basis for their scope and sequence. This presentation will demonstrate the courses and discuss their development and future plans.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:48 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Community Health Mapping

This talk will cover a FOSS4G case study in which a workflow was implemented in several minority public health organizations in 2013. The three organizations were: 1) the Urban Indian Health Institute (Seattle, WA), 2) Papa Ola Lokahi (Honolulu, HI) and 3) The Nature Conservancy of Hawaii (Honolulu, HI). The end users were not GIS professionals but public health staff. Such community based public health organizations do not typically have dedicated GIS staff or budgets for GIS. However, they have each identified mapping needs. The overarching goals of the project were to demonstrate that FOSS4G tools could be effective in minority public health applications, and that they could be used by non-GIS public health staff. Therefore, a focus was placed on identifying the most intuitive and low cost solution meeting their needs.The workflow started with field data collection and included spatial analysis and online data presentation. Field data collection was performed using smart phones and tablets that the end users already owned. Analysis was done via QGIS and final data presentation was done via GIS Cloud. Training sessions were conducted and support was provided throughout the year. However, each organization was able to use the tools with very little follow up support. Each project produced good results, and each is planning on continuing with additional projects in 2014. The workflow will be introduced and results of the three case studies shared.This work was funded by the National Library of Medicine's Division of Specialized Information Services via their Outreach and Special Populations Branch.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:43 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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A FOSS4G-Based Geo Connection System for Education and Research

The presentation will examine the selection, installation, and the current and planned use of a CentOSÐbased system running FOSS4G to support student education, research, and projects with state and local organizations. A system was designed to foster collaborative work between an educational institution and the community. Specifically, it is being used to better understand and enhance distribution systems associated with local agriculture producers and consumers. Part of this work is the development of a web-based system to process and serve geospatial information in an effort to improve communication between food producers and consumers, i.e. restaurants, farmers markets, and Community Supported Agriculture (CSA). This presentation will demonstrate how the system was built to:¥ Continue investigation of the general principles and approaches for designing food distribution systems to enhance local food networks¥ Provide access to a web-based system for geospatial computations and data management¥ Serve as a resource for the community to access information in support of the broader goals of the CEDS research center¥ Act as an map server¥ Act as the server supporting deployment of geo-aware mobile phone applications implemented by the department to enhance the learning process on field trips and other field work¥ Collect, process, store, and serve data from environmental sensors to support education in weather, climate, and the environment
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
36:45 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Introduction to the geospatial goodies in Elasticsearch

In this session we'll introduce how you can work with spatial data in Elasticsearch - The Open Source, distributed, RESTful Search Engine. We'll provide a general introduction on how to index spatial data into Elasticsearch, then cover off on using spatial query and filters, before finishing up showing you how you can visualise and interact with spatial data stored in Elasticsearch using Kibana.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:16 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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pyModis: from satellite to GIS maps

One year after the first public presentation of pyModis at FOSS4G 2013 a lot of improvements have been implemented in the pyModis library. The most important news are that each command line tool now offers a graphical user interface to assist inexperienced users. Furthermore, the MODIS Reprojection Tool (MRT) is not longer mandatory in order to mosaic and reproject the original MODIS data as GDAL is now supported.Hence the most important improvement was the reimplementation of existing MRT component to use the Python binding of GDAL. This was basically driven by the fact that MRT does not properly perform geodetic datum transforms as discovered in the daily work with MODIS data within the PGIS-FEM group leading to shifted reprojection output. With the new GDAL support not only this problem has been solved but also the installation greatly simplified. pyModis is used all over the world in academic, governmental and private companies due to its powerful capabilities while keeping MODIS processing workflows as simple as possible.The presentation will start with a small introduction about pyModis and its components, the library and the tools. This part is followed by news about the latest pyModis release and indications about future developments.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:41 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Geodesign: An Introduction to Design with Geography

Geodesign, at its most basic, is design with geography. It is the combination of the tools and techniques geographers and other geoscientists use to understand our world with the methods and workflows designers use to propose solutions and interventions. For instance, the typical master planning process in which GIS-based knowledge is separated from the design process can be turned into a geodesign task by sketching buildings and other land uses directly within a GIS, and seeing indicators update on the fly as various data graphics. This can then allow the designer(s) to pinpoint specific design interventions based on live feedback from geospatial information.Over the last 10 years, technology has facilitated an explosive growth in geodesign as both a framework for solving problems and a toolkit of geospatial analyses that feed into that framework. The growth of the Geodesign Summit in Redlands, CA from 2010 to 2014 is an example of the demand for this sort of framework.Parallel to the rise of geodesign, the tools represented by FOSS4G have also been evolving into sophisticated tools capable of taking on the needs of geodesign. However, to date there's been too little discussion of how to take the framework and working methods of geodesign and accomplish them with open source tools. This session will connect those dots by taking the typical parts of a geodesign framework (suitability analysis, sketching/designing, evaluating/comparing, iterating) and outlining our own experience making use of open source tools for geodesign. In particular, we will focus on how the interoperability of open source tools and the growth of web-based geospatial tools can support (and evolve!) the ways that geodesign is done.This presentation will address:What is geodesign: the conceptual framework and typical use cases for geodesignWhere are we: workflows and tool stacks we've used and seen others use to dateWhere could we go: identifying current gaps and pain points in existing stacks and possible solutions from emerging technologies
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
52:28 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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The Toolmaker’s Guide

Opening Keynote, FOSS4G 2014, Portland, Oregon
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
40:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Open Source is People

Keynote Speech, FOSS4G 2014, Portland, Oregon.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
18:46 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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OSGeo Incubation

The Open Source Geospatial Foundation does much more than hold FOSS4G each year.This talk will look into what makes OSGeo a software foundation. What software foundations have to offer members, software projects and developers.This talk is structured around the "incubation" process by which new software projects join the OSGeo.If you are new to open source take this is a great chance to see how OSGeo evaluates software projects and how these checks protect you!For managers it is especially important to understand the risks associated with the use of open source. Understand what assurances OSGeo incubation offers, how to double check the results, and what factors are left for your own risk assessment.If you are a developer considering getting involved in OSGeo this is great talk to learn what is involved, how much work it will be, and how you can start!Come see what makes OSGeo more than a user group!
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:18 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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How to tell stories and engage an audience with maps

Maps and stories go together like two peas in a pod. Why is that and how do we take advantage of it? Through my work at CartoDB, I have been able to think deeply about the role of storytelling for today's map makers. Here, I will talk about the insights we have gained through teaching CartoDB users, building libraries such as Torque and Odyssey.js, and creating innovative maps online. Some of my maps have included FOSS4G award winners (NYCHenge and PLUTO Data Tour) as well as dozens of unique and interesting experiments to combine interaction and multimedia with maps or trying to find the limits of what we call a map. If we plan to keep mapping relevant and exciting, it is important that we keep finding the exciting new ways to bend technology to engage people. The map has an interesting future over the coming years and here I will talk about some of the ways we should expect it to go and what it means for us as geospatial software developers.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:37 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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GIS goes 3D : an OpenSource stack

3D in GIS is already here, with more and more data available, and new hardware and sensors for 3D data capture and interaction. The third dimension becomes useful for several use cases and applications, since the technology is now available to achieve full 3D spatial analysis, like 3D intersections, 3D buffers, triangulation and a lot of other data processing capabilities we already use with 2D data. 3D Point clouds from Lidar data, 3D Meshes or TIN, this can now be stored and processed.With 3D data, an absolute must-have is a nice, fast and smooth rendering of features. Visualization is a key element of a complete vertical software stack of 3D data management.This presentation will demonstrate the ability to setup and take advantage of a full FOSS4G 3D stack.Taking data from 3D sensors, or real use-case GIS Open Data, we present the components which can be used together to build the core infrastructure of 3D data management. From data storage to data visualization, through processing and webservices.* Learn how you can use PostgreSQL and PostGIS latest enhancement to store and process 3D data.* Discover how you can setup 3D Web Services for data dissemination* Visualize 3D data with QGIS thanks to the Horao Plugin* Find out the visualization tools available for your favorite browser (Three.js powered)Here we are, a full 3D stack, with OpenSource tools. Software components, data formats, protocols and standards, you will get a global picture of the infrastructure available to extract the value out of your 3D data.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:10 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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From Nottingham to PDX: QGIS 2014 roundup

Following the long awaited QGIS 2 release, announced at FOSS4G 2013 in Nottingham, the project decided to switch to a regular release cycle with three versions per year. QGIS 2.2 was the first release in this cycle and already packed with many new features like 1:n relations, gradient fills, native DXF export and NTv2 datum transformations to name a few. QGIS 2.4, released in June, has one major extension in its core: multithreaded rendering. Originally developed as a Google Summer of Code project, it makes a big difference in the responsiveness of QGIS desktop.This talk shows a selection of the latest features and gives an outlook what's in the works for QGIS 2.6. Some interesting plugins and other news from the community will keep you up to date with the high pace of this OSGeo project.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:15 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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GRASS GIS 7: your reliable geospatial number cruncher

GRASS GIS (Geographic Resources Analysis Support System) looks back to the longest development history in the FOSS4G community. Having been available for 30 years, a lot of innovation has been put into the new GRASS GIS 7 release. After six years of development it offers a lot of new functionality, e.g. enhanced vector network analysis, voxel processing, a completely new engine for massive time series management, an animation tool for raster and vector map time series, a new graphic image classification tool, a "map swiper" for interactive maps comparison, and major improvements for massive data analysis (see also http://grass.osgeo.org/grass7/). The development was driven by the rapidly increasing demand for robust and modern free analysis tools, especially in terms of massive spatial data processing and processing on high-performance computing systems. With respect to GRASS GIS 6.4 more than 10,000 source code changes have since been made.GRASS GIS 7 provides a new powerful Python interface that allows users to easily create new applications that are powerful and efficient. The topological vector library has been improved in terms of accuracy, processing speed, and support for large files. Furthermore, projections of planets other than Earth are now supported as well. Many modules have been significantly optimized in terms of speed even by orders of magnitude. The presentation will showcase the new features along with real-world examples and the integration with QGIS, gvSIG CE, R statistics, and the ZOO WPS engine.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
51:39 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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PostGIS Feature Frenzy

PostGIS has over 300 functions, which in turn can be used with the many features of the underlying PostgreSQL database. This talk covers some basic and not- so- basic ways to use PostGIS/PostgreSQL to process spatial data, to build infrastructures, and to do crazy things with data. Consider the possibilities: raster, topology, linear referencing, history tracking, web services, overlays, unions, joins, constraints, replication, json, xml, and more!
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
31:19 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Advanced CartoCSS Techniques

CartoCSS is becoming an ever more popular Ð and ever more powerful Ð tool for cartographic and data styling. In this talk, Stamen designers and technologists will present some tips and tricks to make your next design sing. Tips and tricks covered include, but will not be limited to: pixelation, use of dingbat fonts for texture and markers, post-facto label adjustment, alternate uses for text symbolization, where to find and use entropy, blending, and geometry manipulation.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:24 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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"Sliding" datasets together for more automated map tracing

Importing new/updated geometry into large dataset like Open Street Map is tricky business. Features represented in both need to be detected and merged. Often times editors are asked to completely "retrace" over updated maps as automated methods are unreliable.While a 100% accurate merge is impossible, it is possible to auto create a best guess and let the user refine from there, eliminating as many manual, tedious steps as possible.Slide is a tool designed to solve this problem and works by iteratively refining roads, trails and other complex geometries to match another dataset, where the features are correctly mapped. In a single click one geometry is "slided" to the other, eliminating hundreds of tedious clicks.The form of the new dataset is flexible. It could be an updated representation of roads such as the new TIGER database, a scanned historical paper map, or a large collection of GPS data points like the 250+ billion made available by Strava, a fitness tracking website.Overall, Slide is designed to leverage what we already know, collected in various datasets, to speed map tracing. Map editors should be focusing on higher level challenges and not just retracing over another dataset.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:32 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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An Automated, Open Source Pipeline for Mass Production of 2 m/px DEMs from Commercial Stereo Imagery

We have adapted the NASA Ames Stereo Pipeline (ASP) - a suite of automated, open source, command-line photogrammetry tools originally developed for NASA planetary missions - to process high-resolution stereo satellite imagery of the Earth. These tools are multithreaded, memory efficient and scalable, which enables processing of "big image data" (e.g., 16-bit panchromatic WorldView images with dimensions ~36000 x 460000 px). We have deployed this pipeline on the NASA Pleiades supercomputer to generate ~2 m/px digital elevation models (DEMs) and ~0.5 m/px orthoimages for thousands of WorldView-1/2 along-track stereopairs. New ASP tools mitigate systematic DEM artifacts and allow for automated, a posteriori DEM coregistration using iterative closest point algorithms. When existing control data are available (e.g. LiDAR, GPS), automated alignment routines offer sub-meter horizontal and vertical DEM accuracy.Our research applications focus on ice sheet dynamics in Greenland/Antarctica and ice/snow evolution in the Pacific Northwest. We have developed an additional collection of tools for DEM analysis, including utilities to produce maps of 3D surface displacement (velocity) vectors and eulerian/lagrangian elevation change. We present the following case studies to highlight the capabilities of these data and our open source workflow:-A 57+ DEM timeseries from 2008-2013 for Greenland's most dynamic outlet glacier, revealing >40 m/yr interannual thinning and large seasonal variability-Annual DEM mosaics that reveal the ongoing evolution of West Antarctica's "weak underbelly", an area roughly the size of New Mexico-Repeat DEM timeseries for Mt. St. Helen's showing volcanic dome growth, glacier advance, canopy height, fluvial erosion/deposition, and landslides.For many applications, DEMs derived from high-resolution satellite imagery are comparable to those derived from airborne LiDAR data, with the advantage of global, on-demand tasking capabilities and reduced costs. Archived commercial stereo imagery is available at no cost to federal employees or federally-funded researchers, and the tools/methods highlighted here offer an automated, open source alternative to traditional, GUI-based, commercial photogrammetry software packages. https://github.com/NeoGeographyToolkit/StereoPipeline
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:33 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Gimme some YeSQL ! - and a GIS -

So long NoSQL, here is YeSQL !Not long ago, PostgreSQL was the the most advanced OpenSource relational database. With the latest version 9.4, it became an over-powerful mutant : the most advanced OpenSource Object-Oriented relational and/or non-relational, Spatial, SQL and/or NoSQL database. For the sake of simplicity, let us call it a YeSQL database.This presentation will introduce you to the feature galore of PostgreSQL, giving insights into the latest improvements from a user point of view. Of course some GIS inclination will drive this talk, and show you how you can take advantage of spatial extensions together with PostgreSQL core features.PostgreSQL 9.4 is an important milestone for various reason : a lot of new outstanding features, and core improvements which prefigure a whole world of new use cases. The main feature from a user perspective, giving PostgreSQL this YeSQL title, is probably the new JSONB storage. A fine marriage between the Hstore extension and JSON support, it literally transforms PostgreSQL into a document database (think MongoDB in PostgreSQL without data losses).We will therefore present great PostgreSQL 9.4 features, and some ways to use them with spatial data, leveraging the latest PostGIS and PointCloud extensions :* Exclusion constraints* KNN search* Lateral joins* Window functions* (writeable) (recursive) CTE* Automatic updateable views* Materialized views* JSON, more JSON, JSON indexing, JSON proceduresÉ* Foreign Data Wrappers* Logical decoding and future applications* More JSON ? GeoJSON ?The feature set available to PostgreSQL users is growing with every release, as are performances. And the spatial part of it is not lagging behind. It is a must-use platform for data management, data infrastructures. And a GIS.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
41:41 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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How Simplicity Will Save GIS

It's 2014 — we have consumer robots and electric cars, private spacecraft, planet colonization projects, and the Higgs Boson is confirmed, but GIS software is still a mess. You might be able to make sense of it all if you're a GIS specialist with an academic background, but other creative individuals — designers, developers, tinkerers of all kinds, each with a vision and desire to create meaningful and beautiful maps and visualizations — are constantly losing battles against bloat, clutter, and complexity.How do we reverse this GIS entropy? What does it take to turn complex technology into something that anyone can use and contribute to? An attempt to answer by the creator of Leaflet, a simple JS library that changed the world of online maps forever. 
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:47 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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MapJakarta - Enabling civic co-management through GeoSocial Intelligence

Mapping urban infrastructure systems is a key requirement to advance our capacity to understand and promote the resilience of cities to both extreme weather events as a result of climate change and to long-term infrastructure transformation as a process of climate adaptation. Yet, while developing nations will bear the brunt of the interwoven, climatic, economic and social challenges of the 21st century, many of these countries lack the sensor networks required to monitor and model the response of the urban system to change. The nexus of people and place embedded in social media communication which is widespread and ubiquitous in many developing nations offers one potential solution. In this context, location-based social media often in the form of big-data, can be used to map emerging spatio-temporal trends to support situational management. Critically, however, the collection and application of such data raises significant questions around privacy, trust and security of the information gathered. The MapJakarta.org project will be presented as a demonstration of the capabilities of free and open source geospatial technology to employ real-time social media data in a secure and anonymous manner for the purpose of decision support.MapJakarta.org is a pioneering web-based platform that harnesses the power of social media by gathering, sorting and displaying information about flooding for Jakarta residents and governmental agencies in real time. The project, in partnership with the Flood Management Office in Jakarta (BPBD DKI) will radically change real-time data collection and feedback for flood monitoring in the most densely populated city in Southeast Asia. The platform runs on the open source software known as CogniCity Ð a GeoSocial Intelligence framework developed by the SMART Infrastructure Facility, University of Wollongong Ð which allows situational information to be collected and disseminated by community members through their location enabled mobile devices via social media networks. Furthermore, the framework also enables governmental actors to perform rapid infrastructure surveys and asset management for pre and post-flood assessment using the same networks. CogniCity is built on the NodeJS platform, and utilizes the PostGIS spatial database for storage, and the LeafletJS map library for visualisation.In this presentation we will explain how these open source components are combined to form a geographical information system within the existing flood management framework, enabling the collection and analysis of social media for flood response and civic co-management in the megacity of Jakarta.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:24 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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OpenSource GIS surveying - water application

It became possible lately to deploy a full OpenSource application stack for field surveying. This presentation describes a water distribution and waste-water management project from a technical point of view, with a strong integration of mobile tools within an industrialized GIS.This projects features a GIS part, with a centralized reference data storage leveraging PostgreSQL/PostGIS, and uses QGIS as a user interface. This combination allows to manage custom data with high volumes efficiently. The project also includes an important mobile side. Implemented on a rugged tablet, a custom tool has been setup to capture and enrich field data. The software is based on ROAM, a new OpenSource software designed for field survey. The tablet is connected on a 3G/4G network and takes advantage of a GNSS antenna to increase GPS precision. It also features an autonomous offline data management module, so as to be able to work in bad network access conditions. The tablet also embeds all required data for greater efficiency. One specificity of this project is the implementation of a synchronization tool between the data used in mobile situation and the reference data, in a multi-user environment.This synchronization tool, developed with PostGIS and SpatiaLite, let users manage data history, data modifications, data merges, offline mode, as well as branches, for parallel versions of the same data. The latter enables the design of evolution scenarios of the network. A classic issue of the surveying work in mobile situation is therefore solved, being able to work in a disconnected mode with multiple land surveying teams smoothly, while keeping data traceability.The project currently evolves towards water simulation integration, interconnection with SCADA industrial systems, and sensor data automated integration (through webservices).All These components therefore constitute a full software package, fully opensource. The various components can be used for other applications than water management. The new features developed thanks to this project can solve mobile GIS issues, and optimize the TCO of GIS solutions for industrial projects, for real-world critical applications.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:34 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Using QGIS server

Kristianstad municipality in Sweden has since 2013 been using QGIS and QGIS Server as a base in our GIS platform. Our goal is to have a user friendly, yet powerful, set of applications from server via desktop and web to mobile applications. All based on open source. QGIS and QGIS server has several functions that makes it easier for both the users and administrators of the systems. That could be saving styles and attrib-ute forms to the database, styling and publish WMS and WFS directly from the desktop QGIS application. With a combination of different types of caching mechanisms we achieve fast and flexible services for our web applications. These open source projects, sMap and sMap-mobile, have also been designed to be fast, flexible and user friendly.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:37 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Client-side versus server-side geoprocessing: Benchmarking the performance of web browsers processing geospatial data using common GIS operations.

Are web browsers ready to handle a larger portion of the processing load in our GIS applications? Web-based GIS and mapping applications are traditionally based on a client-server model, where most of the data processing work is placed on the server. This study examines what happens when that processing load is shifted to the client, using JavaScript to process geospatial data with GIS operations directly in the browser.The time needed to complete common GIS tasks using the JavaScript library JSTS Topology Suite were benchmarked in popular web browsers including Chrome, Firefox, Internet Explorer, Opera, and Safari. The GIS operations buffer, union, and Voronoi diagram were tested with a suite of points, lines, and polygons ranging in size from 10 up to 100,000 vertices. The testing platforms included Windows, Mac, and Linux desktops and laptops.The same geoprocessing tests were conducted on a cloud-based Linux server using the Java library JTS Topology Suite as a performance comparison of server-side processing applications. The various testing configurations were then analyzed to see how browsers stack up to the performance of traditional client-server applications.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
14:46 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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CS-Map - coordinate system libraries

CS-Map is often used as a reference but has not been as widely adopted as proj4. This presentation describes how CS-Map has been used in a distributed geospatial database for big data.The presentation describes the benefits of CS-Map, in particular its whole earth support and also it disadvantages, primarily it is process locked.The aim of the presentation is to demonstrate that having more than one coordinate system library is a good thing and to encourage development of coordinate system libraries.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:23 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Supporting Open Data with Open Source

Within the US Federal Government, there is a trend towards embracing the benefits of open data to increase transparency and maximize potential innovation and resulting economic benefit from taxpayer investment. Recently, an Executive Order was signed specifically requiring federal agencies to provide a public inventory of their non-restricted data and to use standard web-friendly formats and services for public data access. For geospatial data, popular free and open source software packages are ideal options to implement an open data infrastructure. NOAA, an agency whose mission has long embraced and indeed centered on open data, has recently deployed or tested several FOSS products to meet the open data executive order. Among these are GeoServer, GeoNode, and CKAN, or Comprehensive Knowledge Archive Network, a data management and publishing system.This talk will focus on how these three FOSS products can be deployed together to provide an open data architecture exclusively built on open source. Data sets hosted in GeoServer can be cataloged and visualized in GeoNode, and fed to CKAN for search and discovery as well as translation to open data policy-compliant JSON format. Upcoming enhancements to GeoNode, the middle tier of the stack, will allow integration with data hosting backends other than GeoServer, such as Esri's ArcGIS REST services or external WMS services. We'll highlight NOAA's existing implementation of the above, including the recently-deployed public data catalog, https://data.noaa.gov/, and GeoServer data hosting platform, as well as potential build out of the full stack including the GeoNode integration layer.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:01 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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A Complete Multi-Modal Carpooling and Route Planning Solution

Sustainable transportation is a nice idea but can be hard to apply in real life to your daily commute to work or school. For many it involves multiple transportation modes and it can be a challenge to combine the time tables from multiple sources in order to plan the most efficient route. We took the challenge and worked with stakeholders from the Saguenay region to build a portal that provides a simple yet really optimal way to get around in both urban and rural areas be it by bus, bike, share taxi and even carpooling or by combining multiple modes in order to promote sustainable transport. The system built on pgRouting, PostGIS, Django and OpenLayers3 allows users to register offers or search for the best available match in existing offers, comparing and combining as well with city buses and all your other favorite transportation options. It is a solution that will help and inspire city planners or city transport organizations to bring all their transportation systems together to get people moving the right way.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
17:31 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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The best of both worlds: combining geometry and key-value stores using PostGIS and HStore

The "national geospatial foundation" of Norway consists of multiple semi-structured and semi-standardized thematic data sets made available in a variety of formats. Storing, extracting and performing lightweight analyses across the different data sets adds value and usefulness to the data sets, which is a prime motivation for releasing the data freely to the public. Earlier approaches have stored the different data sets in a traditional relational manner resulting in hundreds of Postgresql/PostGIS tables Ð some with dozens of attributes. Updating and querying the data sets becomes unnecessary complicated and often a tedious, manual task. In an effort to deal with these issues, we have looked at other ways of storing and querying the data. A schemaless storage mechanism, like NoSQL-databases, fits perfectly to the task. However, NoSQL-database implementations have major drawbacks related to geometry handling when compared with PostGIS. We wanted the geometry handling of PostGIS combined with the schemaless storage mechanisms of a NoSQL database. Postgresql fits this combination perfectly with PostGIS' handling of geometry and HStores handling of key-value stores. HStore is an extension that implements a binary data type in Postgresql that allow storing an arbitrary number of key-value pairs. In contrast to the JSON data type, HStore enable indexing on the key-value stores. Combining PostGIS geometry with HStore's key-value storage for non-geometry attributes was a perfect match for storing the highly varying data sets. The flexibility gain is tremendous and a huge success allowing our data developers to find new ways of combining and making value of the data sets. Future work on the JSONB data type will combine the benefits of both the HStore and the JSON data type, enabling solutions that are even more advanced as well as bridging the gap between NoSQL-databases and relational spatial databases.This talk will present our success in combining geometry and key-value stores in Postgresql by using PostGIS and HStore Ð which lead to a neatly structured geospatial data collection with excellent performance for extractions, both in materialized views, but also running real-time extractions and lightweight analyses used in production decision-making.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:23 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Adopting OGC Standards in a Flood Alert System

This presentation is about the adoption of the OGC - Open Geospatial Consortium standards in Sao Paulo Flood Alert System which was based on matrix coordinates and static maps.The Flood Alert System has more than 300 telemetric stations composed by rain gauges, water level sensors placed on rivers and reservoirs, water quality sensors, weather stations and a S-band weather radar reaching 240 kilometers of scanning range. The system offers Real Time support for a large metropolitan area and its Emergency Centers, Civil Defense groups, Government, Service companies and general public.We have integrated Geotools (for data conversion), Geoserver (services like WMS, WFS), DB2, OpenStreetMap, uDig, Quantum GIS and some other softwares in our architecture. This set of tools provides many possibilities to easily integrate our data with other systems and external data, like some Hydraulic and Hydrological models that return geospacial data with flooding area forecast and vulnerable buildings.Talking about the architecture, the adoption process, some of the issues, apllied solutions and further development.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
39:07 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Web and mobile enterprise applications

This presentation will discuss enterprise web mapping and mobile applications that we've been developing for large utilities and communications companies, based on a number of open source geospatial components, including PostGIS, MapFish, GeoServer and Leaflet. It will discuss development of offline mobile applications using both PhoneGap to compile to native applications on Android, iOS and Windows, using a SpatiaLite database, and also use of HTML5 offline storage. We will discuss ideas on how to create extremely easy to use but still powerful applications, using approaches inspired by consumer web mapping sites rather than traditional GIS. The presentation will not be deeply technical but will include material of interest to developers as well as end users and managers.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:15 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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24-hr Latency End to End Data Processing Using Open Source Technologies for the Airborne Snow Observatory

JPL's Airborne Snow Observatory is an integrated imaging spectrometer and scanning LIDAR for measuring mountain snow albedo, snow depth/snow water equivalent, and ice height (once exposed), led by PI Dr. Tom Painter. The team recently wrapped our second "Snow On" campaign where over a course of 3 months, we flew the Tuolumne River Basin, Sierra Nevada, California above the O'Shaughnessy Dam of the Hetch Hetchy reservoir; focusing initial on the Tuolumne, and then moving to weekly flights over the Uncompahgre Basin, Colorado.To meet the needs of its customers including Water Resource managers who are keenly interested in Snow melt, the ASO team had to develop and end to end 24 hour latency capability for processing spectrometer and LIDAR data from Level 0 to Level 4 products. Fondly referring to these processing campaigns as "rodeos" the team rapidly constructed a Big Data open source data processing system at minimal cost and risk that not only met our processing demands, but taught the entire team many lessons about remote sensing of snow and dust properties, algorithm integration, the relationship between computer scientists, and snow hydrologist; flight and engineering teams, geographers, and most importantly lessons about camaraderie that will engender highly innovative and rapid data systems development, and quality science products for years to come.Chris Mattmann, Paul Ramirez, and Cameron Goodale for the ASO project will present this talk and will detail the story of the Compute processing capability on behalf of the larger team, highlighting contributions of its key members along the way. We will cover the blending of open source technologies and proprietary software packages that have helped us attain our goals and discuss areas that we are actively investigating to expand our use of open source.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:57 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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GeoExt2 Ð Past, Present and Future

GeoExt 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 of the ExtJS library provided by Sencha.Version 2 of GeoExt (http://geoext.github.io/geoext2/, released in October 2013) is the successor to the GeoExt 1.x-series and is built atop the newest official installments of its base libraries; OpenLayers 2.13.1 and ExtJS 4.2.1.The talk of two GeoExt core developers and members of the PSC (Project Steering Committee) will shortly present the history of the project with a focus on how an international code sprint back in May 2012 lay the foundations of the 2.x-series of GeoExt. The current version will be presented and and we'll discuss new features and important changes for users of the framework. Especially the following aspects will be portrayed:- Usage of the new classes- Compatibility with the single-file build tool of Sencha- Integration into the ExtJS MVC (Model-View-Controller) architecture- Better API-documentation- Easier theming of ExtJS/GeoExt applicationsAs both of the base libraries are about to release new major versions Ð OpenLayers 3 and ExtJS 5 are very near to be being released in stable versions Ð the last focus of the talk will be the future development of the GeoExt 2 framework.The project has already pre-evaluated the possibility of supporting more than just one mapping library, so a future version of GeoExt might bring support for OpenLayers 3 and/or Leaflet and is likely being built on top of ExtJS 5.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:38 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Cartography from code...?

Nowadays we see, specifically on the Web, maps that are interactive, creative, as well as beautiful and effective. And more and more these maps are no longer "drawn", by hand or computer, but "coded". Programmed. In this talk we show that with modern programming tools, such as the popular D3 API, the results can be as good or better, even to the most discerning cartographer. And we discuss the question "can programmers be cartographers, or should cartographers become programmers...?"
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
35:35 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Spatial-Temporal Prediction of Climate Change Impacts using pyimpute, scikit-learn and GDAL

As the field of climate modeling continues to mature, we must anticipate the practical implications of the climatic shifts predicted by these models. In this talk, I'll show how we apply the results of climate change models to predict shifts in agricultural zones across the western US. I will outline the use of the Geospatial Data Abstraction Library (GDAL) and Scikit-Learn (sklearn) to perform supervised classification, training the model using current climatic conditions and predicting the zones as spatially-explicit raster surfaces across a range of future climate scenarios. Finally, I'll present a python module (pyimpute) which provides an API to optimize and streamline the process of spatial classification and regression problems.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:07 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014
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Tuning Open Source GIS Tools to Support Weather Data / Rapidly Changing Rasters

The National Weather Service is developing several geospatial forecast visualization and analysis tools. The back end data store and WMS server is built on Open Source GIS tools: GDAL, PostGIS / Raster, Mapserver, and Mapcache.Weather forecasts are in a constant state of flux. In the case of the National Digital Forecast Database, forecasts expire or are superseded every hour. This presents several challenges when it comes to managing forecast rasters with GIS tools, and delivering the most up-to-date, real-time forecasts with an acceptable level of performance. This presentation will examine the methods and practices we've used to optimize our data store performance, from data ingest to forecast analysis to image delivery.* Using PostgreSQL Inheritance / Parent and Child tables to manage raster updates inside the database* Managing an up-to-date image cache in Mapcache and Memcached, with rapidly changing source data.* Optimizing PostGIS raster tiles and Mapserver DATA queries for faster image generation and display over Google Maps* Future work: Expanding PostgreSQL Inheritance to work with raster overviews
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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Version

AV-Portal 3.7.0 (943df4b4639bec127ddc6b93adb0c7d8d995f77c)