GeoSpatial Analysis & Techniques

Focus Area 1: GeoSpatial Analysis & Techniques

Modeling, Measurement, Visualization and Computation: techniques for the collection, analysis, manipulation, interpretation and display of geospatial data, using tools such as GIS, Remote Sensing, GPS, and Spatial Statistics. A variety of software is utilized such as ARCGIS, R, ERDAS Imagine, ENVI, Python, Java, C++, Matlab, SQL, SPSS, Google Earth Engine, NOAA’s Weather and Climate Toolkit and more. Many courses are taught within our own geospatial analysis labs or flipped classroom environment space.

Our sub-focus areas are as follows:

  • GIS – Geographic Information Systems
  • Spatial statistics
  • Remote Sensing
  • GIS Programming & Development
  • Network Analysis
  • Ecological Modeling
  • Atmospheric data analysis
  • Digital Mapping
  • Landscape Ecology
  • Spatial econometrics
  • Geostatistics
  • Land Change Science

Core Faculty:

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