Python is an open-source, interpreted programming language that has been broadly adopted in the geospatial community. R is particularly powerful for spatial statistical analysis and quantitative researchers in particular may find R more useful than GIS desktop applications (Adapted from Columbia University Libraries' GIS Guide).įor a list of R packages useful for working with geospatial data, you may refer to Columbia University Libraries' GIS Guide. R is a free, open-source programming language primarily for statistics and graphics.Īlthough R was not originally designed to work with spatial data formats, it has long had a strong geospatial developer community and can be used as a powerful GIS platform with the addition of external packages. Google Earth Pro is available on Library computers in the Bennett Library:.Google Earth Pro is a powerful (and free!) geovisualization program that has the ability to import geospatial data files. at SFU Vancouver in Harbour Centre's Lab 1330.in Bennett Library: in room 2105 and the Research Commons.QGIS is currently available on Library computers:. To download, and for more details and technical help, see QGIS.
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