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Spatial data is data related to geographic features or locations. Non-spatial data, sometimes referred to as attribute data, is data not inherently spatial but may be related to geographic features. SAIT students and faculty sometimes use spatial and/or non-spatial data for assignments or projects. This guide will provide information on SAIT-licensed, as well as publically-available to faculty and students for educational use.
SAIT Reg Erhardt Library has fourteen workstations equipped with the following software:
AutoCAD Architecture 2019
ArcGIS Desktop 10.6.1
Blue Marble Global Mapper
Storm Water Management Model
MicroSurvey CAD 2019
For library hours, please visit our information page.