NCEAS encourages and strongly supports the use of open source software packages (e.g., R, GRASS GIS, and PostgreSQL) that the scientific community widely contributes to, that are distributed under an open software license, and that publish source code and algorithms. NCEAS also recognizes that for some research, commercial proprietary software products are the best alternative and we support such packages.
Mathematics and Statistics Software
- R software environment for statistical computing 
- MATLAB analytical environment 
- SAS analytical software 
GIS and Spatial Analysis Software
Additional Software Resources
GIS and Geospatial Data Analysis
Diva GIS Software 
DIVA-GIS is open source software particularly useful for mapping and analyzing biodiversity data. The web site includes a comprehensive global spatial data archive.
This site presents the Thematic Mapping Engine, software for creating innovative thematic maps using GoogleEarth technology.
A great resource for soils-related geospatial research, the Software section contains many concise R spatial analysis examples.
Luc Anselin's (Arizona State University) successor to his Spatial Analysis Laboratory (SAL). Good resource for state-of-the-art geospatial analysis methods and software tools.
The FreeGIS Project: A software overview for Free Geographic Information Systems
As of ArcGIS 10, this supersedes the well-known Hawth's Analysis Tools For ArcGIS .
CDO is a collection of command line utilities that manipulate and analyze climate data in GRIB, netCDF, SERVICE, EXTRA and IEG formats.
JUMP is a GUI-based application for viewing and processing spatial data. It is also an extensible framework for developing and running custom spatial data processing applications.
OGC is a non-profit, standards organization that is leading the development of standards for geospatial and location-based services.
Image Processing and Analysis
A general-purpose image analysis software used to view and analyze environmental satellite data
A comprehensive image analysis package for the processing, display, analysis, and quality control of ocean color satellite (SeaWIFS,MODIS, OCTS,CZCS) image data
An end-to-end example demonstrates both download and processing of MODIS data from NASA servers, as well as the creation of a ready-for-analysis MODIS image mosaic at user-specified spatial resolution.
Relational Database Management