GIS 4121
Geospatial Analysis
Process of identifying and analyzing patterns in geographic data and describing relationships between spatial features. Introduces techniques aimed at the analysis of spatial data. Topics include characterization of spatial data, geographic distributions, pattern identification (point and area objects), field data analysis, spatial modeling and interpolation, regression methods and cluster analysis.
Topics
- characterization of spatial data
- geographic distributions
- pattern identification (point and area objects)
- field data analysis
- spatial modeling and interpolation
- regression methods and cluster analysis
Topics explicitly listed in official catalogue description
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: GIS 3072C and STA 2023 and Geomatics major of junior standing or higher.
Sources
- Course catalogue ↗2025-2026