Opensource for GIS is gaining traction and is being used at many different levels of government. This is ccurisa's shopping list for opensource GIS tools. We will start with the distributions.
Linux Distributions
- Debian GIS is almost ready for you, this is a Debian Linux distribution for GIS users.
- Ubuntu GIS enters the opensource GIS roster.
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LinGis, makes your SUSE 9.1 Linux distribution sing with GIS apps. It includes GMT, cfitsio, dcmms, demeter, gdal
(with patch for Grass 5.7 by Radim Blazek), geos, grass50, grass53, grass57, jasper-uuid, libgeotiff, libjasper-uuid, mapserver, mixkit-devel, ogdi, penscenegraph, php-cgi, postarabic, postgis, postgis-lwgeom, proj, pysqlite, qgis, qslim, sdts++, shapelib, sqlite, thuban, vis5d+, demo-alaska, demo-frida, demo-mittelerde, maplab, phpPgAdmin, HDF, lapack.
Servers
- Mapserver. Enable your GIS for the Internet. Did you go to the conference in Minnesota? Let's hear from you.
- Proj4, is a cartographic projections library. Use it with GRASS, mapserver...
Viewers
- Quantum GIS is a Qt-based component GIS browser.
- JUMP, Java Unified Mapping Platform views and processes spatial data.
- Open-EV is a library--not a viewer exactly, and reference application for viewing and analysing raster and vector geospatial data.
- Thuban allows vector and raster viewing.
Frameworks and Packages
- deegree uses the Opensource GIS Consortium's (OGC) approach to building complex GIS frameworks.
- FGS is a project that combines free and opensource GIS tools into one binary package.
- GDAL, Geospatial Data Abstraction Library is for raster translations. You create a raster model, GDAL's model of course, then you run functions on that data to massage and sculpt it.
- GEOS, Geometry Engine Open Source
- GRASS GIS--the US Army Corps of engineers originally developed the application in the 1980's. European practitioners embrace the package more than American practitioners. Forget what you heard; GRASS now does it all. GRASS is now included in some Linux distributions, see above.
Statistics
- R, astonishing statistical package, now with sufficient work with spatial stats.
Backends/Databases
- PostGIS, enables your postgresql database for GIS objects. Postgresql is gaining wide acceptance, take another look at it's speed and robustness.
