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GIS: Geographic Information Systems

About GIS

GIS (Geographic Information Systems) has grown in popularity as a powerful tool for spatial analysis in the social sciences. Social Science Data and Software (SSDS) continues to work with the Branner Earth Sciences Library to build a collaborative network of expertise, support, and resources for GIS and spatial statistical analysis. The Stanford University Libraries have developed a solid foundation of support to help you locate spatial data and use statistical and GIS applications to do your work.

SSDS Resources and Services

SSDS has always been a repository of social science numeric data and recent efforts have expanded its collection of spatial data for research and instruction, again with a focus on the social sciences. Economic, political, and social boundaries and data are available from U.S. federal and state agencies, as well as international, non-governmental, and commercial sources. Check out the Library catalog (Searchworks) to search for spatial data holdings. SSDS has a dedicated GiS Workstation in The Velma Denning Room.  All cluster machines (iMacs) have statistical, qualitative, and GIS software. 

Stanford Geospatial Data Center (Branner Library)

Branner is the central on-campus location for GIS services and access to spatial data. The Stanford Geospatial Data Center provides GIS instruction, consultation, and data.  The staff also provide GIS reference manuals and software, as well as assistance in geocoding, remote sensing, and advanced mapping of spatial data to all faculty, staff, and students using GIS at Stanford. Workshops and other resources are available for learning GIS.  Branner Library is located on the second floor of the Mitchell Earth Sciences Building. Check out the Geospatial Data Center web site for more information.

Other GIS Resources

An excellent source of information and tools has been compiled by the Center for Spatially Integrated Social Science (CSISS) at the University of California, Santa Barbara. CSISS offers workshops, as well as develops online references and documentation on spatial analysis in the social sciences. 

Statistical software applications with spatial analytical tools include R, OpenGeoda, and BioMedware's SpaceStat.