PLSCI 6200
Analysis of Spatial Data: A Case-Based Approach
This course covers the theory and practice of applying geo-spatial data to resource inventory and analysis, biophysical process modeling, and land surveys. Emphasizes use and evaluation of spatial analytical methods applied to agronomic and environmental systems and processes, with extensions to time series analysis and machine learning approaches for understanding complex spatial-temporal patterns.
Topics
- Analyze complex spatial problems with appropriate theory, statistical methods, computational tools and cloud-based computational platforms.
- Organize data analysis as reproducible research (“literate data analysis”).
- Process and visualize spatial data, with emphasis on open-source computer programs (specifically Python/R).
Official roster learning outcomes
Prerequisites & course information
PLSCI 5200.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Analysis of Spatial Data: A Case-Based Approach · 3.0 · Graduate