GIS 6345 — Geospatial Programming

3 semester hoursGraduateLecture

Introduces basic concepts in computer programming for geospatial data with a focus on the Python language. Applies learned approaches to geospatial analysis and accessing Python packages for spatial data science. Examples include shapely, pandas, NumPy, matplotlib, and SciPy.

Prerequisites

• one of:
  • GIS 5103 (min C-)
  • all of:
    • GIS 5101 (min C-)
    • GIS 5102 (min C-)

Links

Official catalog (GIS course descriptions) · All GIS courses · Plan it at numap.app

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 "retired": true,
 "retiredSince": "2026-09-03"
}