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Kurt Menke, GISP

FOSS for Geospatial Unit Two. Kurt Menke, GISP. What’s Out There? A whole lot!!! Over 350 project entries on http://freegis.org This will be a selection of some of the leading packages. Paul Ramsey Refractions Research Inc. The State of Open Source GIS. Different Realms Desktop

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Kurt Menke, GISP

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  1. FOSS for Geospatial Unit Two Kurt Menke, GISP

  2. What’s Out There? A whole lot!!! Over 350 project entries on http://freegis.org This will be a selection of some of the leading packages Paul Ramsey Refractions Research Inc. The State of Open Source GIS

  3. Different Realms • Desktop • Geoprocessing/Analysis • Spatial Databases • Web Mapping Servers • Web Mapping Clients Today we’ll just cover some of the leading Desktop packages

  4. Can be divided into different language tribes • The programming language the source code is written in • C/C++ • Java • .Net

  5. Some Foundations • GDAL/OGR : Frank Warmerdam (FWTools) • Tools for reading, writing, and processing • GDAL - Geospatial Data Abstraction Library • Raster • OGR - OpenGIS Simple Features Reference • Vector Proj4 Tools for working with projections

  6. OGR Tools for manipulating vector data Over 40 vector data formats supported Commandline Utilities ogrinfo - Lists information about an OGR supported data source ogr2ogr - Converts simple features data between file formats ogrtindex- Creates a tileindex

  7. GDAL Tools for manipulating raster data Over 100 raster data formats supported Here's a sample -->

  8. GDAL Command line utilities gdalinfo - report information about a file. gdal_translate - Copy a raster file, with control of output format. gdaladdo - Add overviews to a file…pyramids gdalwarp - Warp an image into a new coordinate system. gdal_contour - Contours from DEM. gdaldem - Tools to analyze and visualize DEMs. rgb2pct.py - Convert a 24bit RGB image to 8bit paletted. pct2rgb.py - Convert an 8bit paletted image to 24bit RGB.

  9. GDAL Command line Utilities cont… gdal_merge.py - Build a quick mosaic from a set of images. gdal_rasterize - Rasterize vectors into raster file. gdaltransform - Transform coordinates. nearblack - Convert nearly black/white borders to exact value. gdal_grid - Create raster from the scattered data. gdal_polygonize.py - Generate polygons from raster. gdal_sieve.py - Raster Sieve filter. gdal_fillnodata.py - Interpolate in nodata regions. gdal-config - Get options required to build software using GDAL.

  10. PROJ4 • Engine for re-projecting and transforming geospatial datasets from one SRS to another • Integrated into many FOSS and proprietary packages • QGIS • GRASS GIS • MapServer • gvSIG • PostGIS • Google Earth

  11. PROJ4 • Uses Well-known text (WKT) – a text markup language for representing spatial reference systems...among other things • SRS's are often referenced by EPSG codes • A unique code for every SRS • http://www.epsg.org/ • This is the same format ESRI uses in the *.prj file for a shapefile spatial reference

  12. Desktop Packages • GRASS GIS (C) • Quantum GIS (aka QGIS) (C) • MapWindow (.Net) • uDig (Java) • GvSig (Java)

  13. GRASS GIS • Geographic Resources Analysis Support System • Oldest active GIS package, has been under continuous development since 1982! • Development History • U.S. Army - Construction Engineering Research Laboratory (USA-CERL) originally directed its development • 1995 -2001 – revived by Baylor University • 2001 – current – ITC a research center in Italy

  14. GRASS GIS • Geographic Resources Analysis Support System • Has a different vocabulary and workflow which takes getting used to • Originally raster based but now includes vector • Extremely powerful • Historically had no GUI and was Linux based. • Recently true windows versions are available with a nice GUI

  15. Cartography

  16. 3D Visualization

  17. Image Processing

  18. Vector Analysis…GRASS isn’t just for rasters anymore Chart symbolization Buffers Networks

  19. Quantum GIS • Part of the C tribe • Available for Windows, Linux & Mac • Active Development community • User Plugins • Active listserv • Lots of new functionality • Easy intuitive interface • Can be used as a front end to GRASS GIS

  20. Integrating Tools • The QGIS Application Stack • QGIS – desktop GIS • PROJ4 – projection engine • GDAL/OGR – raster/vector manipulation • GRASS – raster analysis Powerful Package

  21. MapWindow GIS • http://www.mapwindow.org/ • Similar to QGIS in many ways but part of the .net family • Only available for Windows • Developed by Daniel Armes at Univ Utah • Active Development community • Not too hard to guess how ArcGIS features are implemented 23

  22. MapWindow GIS

  23. MapWindow GIS • Plugins similar to QGIS • Built-in access to Google geocoder • Watershed tools • Built-in GPS functions Basic Raster tools Basic Vector tools

  24. uDIG • User-Friendly Desktop Internet GIS • http://udig.refractions.net • Part of the Java tribe • Mostly a viewer…but can be much more • Available on Windows/Mac/Linux • Internet oriented – designed to consume geospatial services: OGC standards (WMS, WFS, WCS) and GeoRSS & KML • Can be used as a front end to JGRASS (Java GRASS) • Developed by Refractions Research

  25. gvSIG • http://www.gvsig.org/web/ • Part of the Java tribe • Available for Windows, Linux, Mac • Multi-lingual…very popular in Europe • Spanish, Valencian, English, Basque, Gallego, Czech, Chinese, French, German, Greek, Italian, Polish, Portuguese, Portuguese-Brazilian, Romanian, Russian, Serbian, Swahili and Turkish • Not all dialogs/tools are completely in English • Not a wide English speaking user base • Unique workflow

  26. GvSIG Oxford Edition • http://oadigital.net/ • The better version for english speakers • Multi-lingual: more than 20 languages already included, easy to add more • Flexible, multi-document workspace with side-by-side data views, map layouts etc. • Rich vector data functionality, including thematic maps, symbology and CAD-like editing capabilities • Topological and network data analysis • Rich raster data tools, including remote sensing, georeferencing and transformations • Map layout and PDF/PS production facilities • Easy-to-use and flexible geoprocessing tools for typical raster and vector processing tasks • More than 500 additional geoprocessing tools via the SEXTANTE extension and GRASS GIS interface • GRASS 6.4 included in the installation package; all you need, on all supported operating systems

  27. Very similar to ArcView 3.x in form but with dockable windows

  28. The Open Source Geospatial Foundation (OSGeo) • Non-profit formed in 2006 • Goal of supporting and building the best open source geospatial tools possible including data • Provides financial, organizational and legal support to the broader Free and Open Source geospatial community • Serves as an independent legal entity to which community members can contribute code, funding and other resources, secure in the knowledge that their contributions will be maintained for public benefit. • Provides a common forum and shared infrastructure for improving cross-project collaboration http://www.osgeo.org/

  29. Projects under the OSGeo umbrella Desktop Applications GRASS GIS Quantum GIS gvSIG Geospatial Libraries FDO GDAL/OGR GeoTools GEOS MetaCRS OSSIM PostGIS Web Mapping Server MapServer deegree Geomajas GeoServer Client Mapbender MapFish MapGuide Open Source OpenLayers Metadata Catalog GeoNetwork opensource

  30. 2004 OSG Ottawa, Canada 200 att 2003 1st Mapserver Users Meeting, St Paul, MN 125 att FOSS4G Free and Open Source Software GeoSpatial Annual Conference Hosted by OSGeo 2005 OSG – St. Paul, MN 350 att

  31. 2006 Lausanne, Switzerland 560 2008 Cape Town, S. Africa 550 2010 Barcelona, Spain 822 2009 Sydney, Australia 436 2007 Victoria, Canada 721 FOSS4G Free and Open Source Software GeoSpatial Annual Conference Hosted by OSGeo

  32. FOSS4G 2011 FOSS4G - Denver! http://2011.foss4g.org/

  33. 1st MapServer Meeting: St. Paul, MN 2003

  34. Conclusion(s) • You can most GIT needs with FOSS GIS • It is fun and a rising force • GIS ready to do real work • Weaknesses are probably cartography & having to learn different software and workflows • Strengths: ability to read/write different formats, open standards strictly followed, allows for interoperability • There is an economic gain by not having to pay huge license fees • You can reduce your dependence on proprietary vendors & become involved in a collaborative GIS community

  35. QGIS Demo Can Start on Lab 2 – Intro to QGIS

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