Confluence Retirement

Due to the feedback from stakeholders and our commitment to not adversely impact USGS science activities that Confluence supports, we are extending the migration deadline to January 2023.

In an effort to consolidate USGS hosted Wikis, myUSGS’ Confluence service is targeted for retirement. The official USGS Wiki and collaboration space is now SharePoint. Please migrate existing spaces and content to the SharePoint platform and remove it from Confluence at your earliest convenience. If you need any additional information or have any concerns about this change, please contact Thank you for your prompt attention to this matter.
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Scientific Computing Topics

Scientific Computing Environments

S-Plus and R


USGS holds a license for a version of the S-Plus statistical package, and the USGS internal distribution includes USGS-developed statistical and graphics tools.
TIBCO Spotfire S+ 8.1 for Windows with the USGS Library 4.0 Public Release
USGS support: GS-W Help SPLUS
USGS support archive:


R is an open-source statistical analysis system built to be functionally equivalent to S. It is gaining in popularity, and has a body of GUI's (such as RCommander) and interfaces available for it. Since R has a command-line interface, it is fairly easy to connect with other software, for example, ArcGIS.

Although the user community is very good at answering questions, but the volume of questions and answers may be overwhelming.


  • Versions of Python 2.x and Python libraries are included in different versions of ArcGIS:


    ArcGIS 9.3


    10.1 (beta)











  • The netCDF4 module compiled for ArcGIS 10.0, 10.1 allows fairly straightforward access of netCDF and THREDDS data to ArcGIS Python scripts. Thanks to Rich Signell and, most of all, Christoph Gohlke (who compiled the module so it will work with Arc 10). Rich and Curtis Price provided this example python script.
    • The image below shows an example of a raster that has been loaded into ArcMap from a remote dataset using the netCDF4 library and the OPeNDAP access protocol.



MATLAB is commonly used for data and compute-intensive scientific analysis.

Known USGS MATLAB users: Rich Signell, Ashley Van Beusekom

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