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39:49 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

UrbanFootprint: Next-Gen Scenario Planning Tool

UrbanFootprint is a new open source scenario planning tool that seeks to revolutionize the practice of planning, with the potential to allow for a closer integration with research, public involvement, and education. Within version 1.1 alpha now complete and the next version currently under development, UrbanFootprint is a new state-of-the-art model that uses open source geographic information system (GIS) technology to create and evaluate physical land use/transportation investment scenarios. It is designed to be deployed by government agencies, private entities and NGOs. The model translates disparate data describing the existing environment and future urban development plans into a common data language, and defines future scenarios through the application of a new common set of ÔPlace Types'. The model's suite of Place Types represents a complete range of development types and patterns, from higher density mixed-use centers, to separated-use residential and commercial areas, to institutional and industrial areas. The physical and demographic characteristics associated with the Place Types are used to calculate the impacts of each scenario. UrbanFootprint represents the new standard for scenario modeling tools intended for use by urban and regional planners at the local, county, regional, state or national level. Running on a backbone of PostGIS, PostgreSQL and Ubuntu Linux 64-bit, it takes full advantage of today's hardware processing capabilities to model the impacts of future urban growth scenarios on the base (existing) environment in future years to generate outcomes for a full list of metrics, including: Travel behavior (vehicle miles traveled, transit trips, walking trips, fuel consumed, fuel cost, criteria pollutant emissions, transportation electricity consumed and impacts); Energy & Water consumption (for transportation & buildings); Land Consumption by type; Infrastructure Cost (capital and operations & maintenance); City revenue from residential development; Public Health Impacts (Obesity, Asthma, Rhinitis, Pedestrian-Vehicle Collisions, Respiratory & Cardiovascular Health Incidences); and Greenhouse Gas (GHG) Emissions.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
51:39 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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
1:02:01 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Mapping for Investigations

Closing Keynote Speech, FOSS4G 2014, Portland, Oregon.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:18 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

WPS Benchmarking Session

With the interrest for OGC Web Processing Service growing, we need to know details about the Open Source Solutions available. Various projects implementing WPS designed individuals from their community to participate in this talk to introduce their project and summarize their key features, they are the following: 52¡North WPS, Constellation SDI, GeoServer, PyWPS, ZOO-Project. For being able to provide good quality results, the tests should be run locally, so a server dedicated to this WPS Benchmarking Session, hosting OSGeoLive environments, is accessible to each team for running test procedures defined through discussions. The results of the given test procedures will be presented during this session and will compare implementations from different aspects: capabilities, compliancy, ressources usage and performance.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:27 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Js.Geo part Deux recap

For those of you sad pandas who couldn't make JS.geo on Tuesday, we will give a quick intro as to why scheduling was so hard this year, a quick tour of some of the amazing demos, highlights of the discussion from the day, and wrap up with what we would like to do to see it go smoother next year. Be there or be square (actually all that would happen is you would miss out on the coolest tech demo'ed at FOSS4G)!
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:43 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

projections in web browsers are terrible and you should be ashamed of yourself

The JavaScript port of proj4 was (relatively) recently moved from subversion to github and updated to use modern build tools.The talk will discuss some of the differences between desktop and web environments when it comes to projections and CRS, other new projects that take a different perspective on projections (like topojson), and why you can't just use an EPSG number in your browser (and should be ashamed of yourself wanting to).
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:31 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Introduction to MapGuide

This class is for those who want to fast-track into installing and using MapGuide Open Source. MapGuide Server and Web Extensions are set up in the Workshop (Windows). MapGuide Maestro (Windows) is used to load and connect to GIS data, create layers, author maps and publish web sites.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
36:45 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

What's new in Cesium: the open-source alternative for 3D maps

When building 3D mapping apps, we no longer have to deal with closed feature-sets, limited programming models, temporal data challenges and bulky deployments. This talk introduces Cesium, a WebGL-based JavaScript library designed for easy development of lightweight web mapping apps. With live demos, we will show Cesium's major geospatial features including high-resolution global-scale terrain, map layers and vector data; support for open standards such as WMS, TMS and GeoJSON; smooth 3D camera control; and the use of time as a first-class citizen. We will show how Cesium easily deploys to a web browser without a plugin and on Android mobile devices.Since last year's talk at FOSS4G NA, Cesium has added 3D models using the open-standard glTF, a large geometry library and higher-resolution terrain.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
35:38 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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 fast, appealing, informative and readable maps.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
31:19 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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
52:09 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Don't Copy Data! Instead, Share it at Web-Scale

Since its start in 2006, Amazon Web Services has grown to over 40 different services. S3, our object store, one of our first services, is now home to trillions of objects and regularly peaks at 1.5 million requests/second. S3 is used to store many data types, including map tiles, genome data, video, and database backups. This presentation's primary goal is to illustrate best practice around open data sets on AWS. To do so, it showcases a simple map tiling architecture, built using just a few of those services, CloudFront (CDN), S3 (object Store), and Elastic Beanstalk (Application Management) in combination with FOSS tools, Leaflet, Mapserver/GDAL and Yas3fs. My demo will use USDA's NAIP dataset (48TB), plus other higher resolution data at the city level, and show how you can deliver images derived from over 219,000 GeoTIFFs to both TMS and OGC WMS clients for the 48 States, without pre-caching tiles while keeping your server environment appropriately sized via auto-scaling. Because the NAIP data sits in a requester-pays bucket that allows authenticated read access, anyone with an AWS account has immediate access to the source GeoTIFFs, and can copy the data in bulk to anywhere they desire. However, I will show that the pay-for-use model of the cloud, allows for open-data architectures that are not possible with on-prem environments, and that for certain kinds of data, especially BIG data, rather than move the data, it makes more sense to use it in-situ in an environment that can support demanding SLAs.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:16 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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

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
27:22 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Serving high-resolution sptatiotemporal climate data is hard, let's go shopping

The world is a big place and time is infinite. Scientists who study any aspect of the Earth's climate are immediately faced with the exponentially growing amount of data that are required to represent properties of the climate in both time and space. The bulk of these data is a substantial barrier to extracting meaningful information from their contents. This barrier can be prohibitive to smaller-scale researchers and communities that want to study and understand the impact of the climate on their localities. Fortunately, a substantial amount of free and open source software (FOSS) exists upon which one can build a great geospatial data application.The Pacific Climate Impacts Consortium (PCIC), a regional climate services provider in British Columbia, Canada, has been making a concerted effort to use geospatial FOSS in order to expand the availability, comprehensibility and transparency of big climate data sets from the Coupled Model Intercomparison Project (CMIP5) experiment. With a full stack of geospatial FOSS and open protocols we have built and deployed a web platform capable of visualizing and distributing high-resolution spatiotemporal raster climate data.Our web application consists of:+ back-end storage with raw NetCDF4/HDF5 files+ a PostgreSQL/PostGIS database for indexed metadata+ ncWMS for maps and visualization+ the PyDAP OPeNDAP server for data requests+ a web user interface to tie it all togetherThis presentation will provide a case study for enabling scientific collaboration using FOSS and open standards. We will describe our application architecture, present praise for and critique of the components we used, and provide a detailed discussion of the components that we had to improve or write ourselves. Finally, though our use case is specific to climate model output, we will provide some commentary as to how this use case relates to other applications of spatiotemporal data.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:46 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

An automated classification and change detection system for rapid update of land-cover maps of South Africa using Landsat data.

Recent land cover maps are essential to spatial planning and assessment by non-/governmental agencies. The current land cover mapping methods employed in South Africa are slow and expensive and the most recent national land cover map dates back to 2000. The CSIR is developing an automated land-cover mapping system for the South African region. This system uses widely available Landsat satellite image time series data, together with supervised machine learning, change detection, and image preprocessing techniques. In this presentation the implementation of this end-to-end system will be addressed. Specifically, we will discuss the use of an open source random forest implementation (Weka), a change detection algorithm (IRMAD), as well as tools used for satellite image preprocessing (Web enabled Landsat data, fmask cloud masking) and on-line validation tools. Furthermore the approach used in optimising automatic land-cover production accuracy for operational use will be discussed.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:24 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

"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
26:57 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

A Mobile Situated Learning Module using Open Source Geoweb Technology

Mobile device technology is being introduced into educational settings and is likely to become widespread as an instructional medium in the coming years. As of 2013, nearly three-fourths of American college students own a smartphone, while four in ten own a tablet, and a majority of students believe that mobile devices can make their education more effective. There is tremendous opportunity to harness these devices for situated learning, or lessons that take place in a real-world context, through the use of mobile-ready geoweb technologies. Adaptive web maps can be developed to guide students to important places—either virtually or physically—and facilitate landmark interpretation. This presentation will demonstrate a situated learning module developed using open source geoweb technologies for an International Studies course at the University of Wisconsin-Madison. The purpose of the module is to "make the familiar strange" to students in the Madison landscape, guiding them to historic landmarks and pairing those places with maps, images, and narration to explore the course of economic development in the U.S. The web application makes use of the principles of responsive web design to adapt to mobile or desktop devices, altering the map interface and modes of content delivery to fit the user's context. The mobile and desktop versions will each be evaluated to determine what adaptations effectively increased usability and whether situated viewing of the map on a mobile device influenced learning outcomes. A review of the application development and evaluation processes and results will be accompanied by a summary of lessons learned about how mobile mapping applications can adapt to their users and surroundings.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:30 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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
27:32 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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
20:28 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

A User-centered Design for Interactive Masking Capability within Web GIS

This presentation will discuss the design of interactive raster masking capability for a web-based geographic information system (Web GIS) from the perspective of user-centered design. A case study will be presented by analyzing and discussing specific aspects of the user-developer dialog within the context of the software development life cycle. The presented case study will take the audience through the development of an open-source Web GIS software architecture (MapServer, PostGIS and OpenLayers) with particular focus on how the masking functionality was designed and implemented. Software engineering techniques informed by iterative cognitive walkthrough allowed for a dialog between Web GIS production and consumption that led to a more usable and useful cartographic interface. Key findings from this case study will be presented.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:27 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Open Web Mapping: An educational resource for creating online maps using free and open source software

Free and open source software (FOSS) for GIS continues to increase in functionality and usability, and offers a flexible and economic option for organization that want to create online maps; however, beginners face a broad array of software choices and may not know which FOSS products and packages to deploy in each tier of the web map architecture. Compounding the problem is the fact that much documentation for FOSS GIS is fragmented among these tier-specific products and does not provide end-to-end workflows for designing and publishing cartographic web services and assembling them into an online map product. In response to these needs, The Pennsylvania State University has introduced an open online course entitled Open Web Mapping. The course lessons explain the theory and architecture of web mapping, while walking beginners through the process of deploying online maps with FOSS. Software such as QGIS, GDAL, GeoServer, TileMill, and OpenLayers is introduced as students start from the data processing stage and work their way to the final display of interactive web service layers in a browser-based map. The course is intended as an open resource for the entire FOSS community; therefore, the lesson materials are freely accessible through a Creative Commons license.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
30:00 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Quadcopter GIS for less than 700 - Hardware and software to map your local community

Quadcopter - Phantom FC40 (500). Camera - Canon PowerShot ELPH 130 IS 16.0 MP (110). Opportunity to engage your local community to produce open data - priceless.Let's get to the point. Let's talk about hardware and software to get out there and actually map some stuff with a quadcopter. This is the story of my adventures hacking with a Phantom quadcopter over the last 10 months to make local maps... and of course have fun. The only rules... it has to be cheap and the software has to be open source.We will go through the hardware, including purchasing, setting up, and flying the quadcopter. The camera is hacked with CHDK and strapped on the quadcopter with some velcro to a vibration dampener cut up with a dremel tool. The processing software is a pain to install, but we will talk through it including software options, how to get your processing off loaded to your video card GPU, and how we as a community can make all this easier in the future. Finally, we will look at what you can actually make... including mosaics, 3d models, and DEM's of your local community.Quadcopters are cheap, fun, and amazing for engaging your local community to produce open data. Let's do it!
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:12 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Exposing NASA's Earth Observations

The satellites which comprise NASA's Earth Observing System (EOS) have a long history of capturing rich datasets with global coverage over extended periods of time. While the data itself is rich (and open!), it can be a daunting task for uninitiated users to find suitable datasets, learn the data format, and subsequently find interesting phenomena. Even for those who are familiar with the data, it can be a time consuming process. But thanks to the proliferation and maturity of open source geospatial software, NASA has been able to build an imagery ingest pipeline, open source tiled imagery server, and open source, web-based mapping client to encourage exploration and discovery of NASA datasets. This talk will describe how NASA is building these capabilities through the Global Imagery Browse Services (GIBS) and Worldview client, demonstrate how others are building upon them, and show what it takes to integrate NASA imagery into clients using the GIBS API.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
29:54 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

MapServer #ProTips

MapServer is a fast, flexible and extremely powerful tool for creating dynamic maps for the Web. Underneath the hood, MapServer offers many powerful and advanced features that many users never dig into, and new features are being added constantly. Come learn about some of the more advanced features of MapServer, from heat maps to 3D WFS services to exporting data to GDAL file formats to very complex symbology and labeling. Learn simple and advanced use cases and debugging techniques for some of these advanced features from two presenters with over 20 years combined experience of using MapServer. A live MapServer instance will be used during this presentation (yes we are crazy!).
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:31 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

GeoMOOSE at 10 Years

GeoMOOSE released its very first version in 2005. At nearly 10 years old the project has continued to hold on to its original developers and many of its foundation users. Over that lifespan the project has allowed the development team to observe struggles in changing technology, attitudes, and the dedication required to keep such an open source project relevant as it ages.Nearly 10 years worth of dirty laundry will be aired! And a preview of GeoMOOSE 3.0 ideas! And slides with exclamation points!
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
33:12 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Spatial in Lucene and Solr

Apache Lucene is a Java toolkit that provides a rich set of search capabilities such as keyword search, query suggesters, relevancy, and faceting. It also includes a spatial module for searching and sorting with geometric data using either a flat-plane model or a spherical model. The capabilities therein are leveraged to varying degrees by Apache Solr and ElasticSearch--the two leading search servers based on Lucene.In this talk I'm going to start by briefly covering some core features of this search platform so that the audience appreciates the unique role it plays in the crowded world of information-retrieval. I will then show examples of using some spatial features in Apache Solr such as:? indexing points, polygons, and other shapes into a Lucene document? filtering search results by a query shape, to include using different search predicates? sorting by distance between indexed points and a query pointNext I will review some spatial features in Lucene spatial and ElasticSearch such as:? sorting bounding boxes by overlap percentage with a query box? aggregating geohash grid counts for heatmapsThe talk will also note the internal architecture and dependencies of Lucene spatial, and discuss a key dependent library called Spatial4j. At the end of the talk I will note some limitations to be aware of, as well as planned improvements. Finally, key advances in geodesic (spherical geometry) information retrieval in Spatial4j will be highlighted.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:33 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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
1:02:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Making Space for Diverse Mappers

<p>Diverse communities provide the space for different points of view to find voice. Historically open source communities have balanced the contribution of various perspectives and expertises. We are often industry examples of remote cultural collaboration. But the nature of collaboration is changing, where diversity must stretch further across geographies to foster a wider scope of difference. One that includes the other sides of privileged space. In this session, I will present on why ideological diversity can be at the forefront of community structures by introducing three personal cornerstones - Mapzen, Maptime, and GeoNYC. This interactive session highlights how embracing a range of cultural perspectives and technical expertise allows communities to create the unexpected. We'll review success and challenges while performing our own mini GeoNYC complete with 3-word introductions and mapping fun. </p>
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
30:17 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Geospatial-Semantic Knowledge Management and Linked Data for Humanitarian Assistance

The challenges to sharing knowledge during humanitarian events are well documented. Of these, the lack of effective and meaningful communication between all actors in an event is the root cause of many of the inefficiencies that hinder the ultimate goal of relieving suffering and rebuilding societies. This presentation outlines an approach for applying semantic knowledge management, ontological rules, and Linked Data approaches to address these issues. We introduce semLayer, a geospatially-enabled Semantic MediaWiki prototype application with mobile and wiki-based collection components, built using open source constituent technologies. We will discuss specifically the integration of PostGIS as a data store, and how this approach compares to open source triples stores/frameworks (e.g. Apache Jena) that perform geospatial operations using the GeoSPARQL specification. We will then move into considerations of integrating micro-, domain-, and upper-ontologies and vocabularies, and defining rules that govern relationships between data and entities, including geospatial attributes. We will close with a discussion of contributing to a disaster response use case with a Linked Data approach.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
31:33 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

UrbanSim2: Simulating the Connected Metropolis

<style type="text/css"><!--td br --></style>UrbanSim is an open source software platform for agent-based geospatial simulation, focusing on the spatial dynamics of urban development. å Since its creation UrbanSim has been used in the official planningå processes for at least a dozen regional governments which were usedå to help allocate billions of dollars in regional investments in transportationå infrastructure.UrbanSim was first conceptualized in the late 1990's and implementedå using the Java programming language. The technology landscape forå scientific computing changed dramatically after that, and by 2005å UrbanSim was converted to Python, making heavy use of Numpy to vectorizeå calculations. By 2014, it became clear that UrbanSim should be reimplementedå again to take advantage of significant advances in the libraries availableå for scientific Python. The new version of UrbanSim, called UrbanSim2,å makes extensive use of community-supported scientific Python librarieså to reduce the amount of domain-specific customized code to a minimum.UrbanSim is an excellent case study for the power of leveraging thework of the scientific programming community as scaffolding for adomain-specific application, as opposed to building an extensive customizedå solution in each domain. Additionally, the open and participatoryå nature inherent in nearly all of the open source projects describedå here has been particularly embraced by governments, who are oftenå reticent to support large commercial institutions and balkanized andå private data formats and software tools.<style type="text/css"><!--td br -->UrbanSim is an open source software platform for agent-based geospatialå simulation, focusing on the spatial dynamics of urban development. å Since its creation UrbanSim has been used in the official planningå processes for at least a dozen regional governments which were usedå to help allocate billions of dollars in regional investments in transportationå infrastructure.UrbanSim was first conceptualized in the late 1990's and implementedå using the Java programming language. The technology landscape forå scientific computing changed dramatically after that, and by 2005å UrbanSim was converted to Python, making heavy use of Numpy to vectorizeå calculations. By 2014, it became clear that UrbanSim should be reimplementedå again to take advantage of significant advances in the libraries availableå for scientific Python. The new version of UrbanSim, called UrbanSim2,å makes extensive use of community-supported scientific Python librarieså to reduce the amount of domain-specific customized code to a minimum.UrbanSim is an excellent case study for the power of leveraging thework of the scientific programming community as scaffolding for adomain-specific application, as opposed to building an extensive customizedå solution in each domain. Additionally, the open and participatoryå nature inherent in nearly all of the open source projects describedå here has been particularly embraced by governments, who are oftenå reticent to support large commercial institutions and balkanized andå private data formats and software tools.--></style>
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
41:41 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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
25:22 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

"Fast Big Data?" A High-Performance System for Creating Global Satellite Image Time Series

Description:We describe a system that transforms sequences of MODIS images covering the entire Earth into time-optimized data cubes to provide rapid access to time series data for various applications.Abstract:Satellite time series data are key to global change monitoring related to climate and land cover change. Various research and operational applications such as crop monitoring and fire history analysis rely on rapid access to extended, hyper-temporal time series data. However, converting large volumes of spatial data into time series and storing it efficiently is a challenging task. In order to solve this Big Data problem, CSIR has developed a system which is capable of automated downloading and processing of several terabytes of MODIS data into time-optimized "data cubes." This time series data is instantly accessible via a variety of applications, including a mobile app that analyzes and displays 14 years of vegetation activity and fire time series data for any location in the world. In this presentation we will describe the implementation of this system on a high-performance Storage Area Network (SAN) using open source software including GDAL and HDF5. We discuss how to optimally store time series data within HDF cubes, the hardware requirements of working with data at this scale as well as several challenges encountered. These include writing high-performance processing code, updating data cubes efficiently and working with HDF data in a multi-threaded environment. We conclude by showing visualizations of our vegetation and burned area time series data in QGIS, web apps, and mobile apps.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:48 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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
20:48 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

Fast Travel Sheds using GTFS Data in GeoTrellis Transit

General Transit Feed Specification (GTFS) data is the open standard for representing transit systems in space and time. While developing an open source planning application for public transit agencies, it became clear that processing speed was the primary impediment to calculating transit coverage indicators within a reasonable time. At a glance, GTFS is just a set of simple CSV files organized relationally with key fields. But transit systems are far more complex than just spatial data for routes and stops. They need to be able to model spatial-temporal relationships embodied in transit schedules as well as semi-cyclical and shifting schedule patterns. Additionally, the specification is flexible enough to represent many different approaches to operating transit systems and the same system attributes can often be represented in multiple ways.While some transit system metrics are fairly straightforward to compute, certain public transit system metrics are best modeled as "travel shed" represented by raster coverages or isolines derived from them. The GeoTrellis Transit project is an extension of the open source GeoTrellis framework and was created to calculate travel shed rasters using GTFS and OpenStreetMap data. GeoTrellis Transit accomplishes this by creating a time-dependant graph structure that can rapidly perform shortest path queries at a given time of day, based on the public transit schedule.The challenge in developing GeoTrellis Transit involved designing a time-dependent graph structure that contains information about how the nodes connect at any particular moment in time during traversal. Shortest path algorithms on time-dependant graphs need to take into account arrival times at any given node, as well as wait times until an edge becomes available. This makes fast calculation of shortest path trees on time-dependant graphs difficult, which GeoTrellis Transit optimizes using a novel data structure to represent the graph.This presentation will introduce the GTFS standard and identify where difficulties may arise, especially for large systems. It will also describe how GTFS, OpenStreetMap and GeoTrellis Transit can be combined to build a fast time-dependant graph structure that can then be used to create time-based shortest path trees and travel shed rasters.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:26 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

The Manager's Guide to PostGIS

Your staff keep talking about this "PostGIS" thing, but what is it? Does anyone (important) else use it? What for?This talk gives a brief overview of the place of PostGIS in spatial IT architecture, how PostGIS compares to proprietary alternatives, who is using PostGIS, and how organizations transition to open source databases.
  • Published: 2014
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:47 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2014

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
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