Standard syllabus
Spatial statistics · Undergraduate · Statistics
Topics
Spatial data concepts
- Point, areal, and geostatistical data types
- Coordinate systems and map projections
- Spatial autocorrelation: Moran's I and variograms
- Tobler's law and stationarity assumptions
- Spatial sampling designs
Geostatistics
- Empirical and theoretical variograms
- Ordinary kriging
- Kriging variance and cross-validation
- Spatial interpolation vs regression
- Anisotropy and nested structures (intro)
Spatial regression
- Spatial lag and spatial error models (introduction)
- Point process models overview
- Disease mapping and smoothed rate estimation
- Software: sp, sf, gstat in R (or GeoPandas)
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