STEM / applied
Spatial statistics · Undergraduate · Math
Learning objectives from the Spatial statistics syllabus, grouped by unit. Click an objective for study materials.
Topics typically covered
Click a topic for the full text and related unit practice.
Undergraduate Spatial statistics — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).
Spatial data concepts
- Point and areal data — Point and areal data
- Geostatistical data types — Geostatistical data types
- Coordinate systems — Coordinate systems
- Map projections — Map projections
- Spatial autocorrelation: Moran's I — Spatial autocorrelation: Moran's I
- Variograms — Variograms
- Tobler's law — Tobler's law
- Stationarity assumptions — Stationarity assumptions
- Spatial sampling designs — Spatial sampling designs
Geostatistics
- Empirical — Empirical
- Theoretical variograms — Theoretical variograms
- Ordinary kriging — Ordinary kriging
- Kriging variance — Kriging variance
- Cross-validation — Cross-validation
- Spatial interpolation vs regression — Spatial interpolation vs regression
- Anisotropy — Anisotropy
- Nested structures (intro) — Nested structures (intro)
Spatial regression
- Spatial lag — Spatial lag
- Spatial error models (introduction) — Spatial error models (introduction)
- Point process models overview — Point process models overview
- Disease mapping — Disease mapping
- Smoothed rate estimation — Smoothed rate estimation
- Software: sp, sf, gstat in R (or GeoPandas) — Software: sp, sf, gstat in R (or GeoPandas)
Learning objectives
Click an objective for study materials.
Spatial data concepts
- Point and areal data — Point and areal data
- Geostatistical data types — Geostatistical data types
- Coordinate systems — Coordinate systems
- Map projections — Map projections
- Spatial autocorrelation: Moran's I — Spatial autocorrelation: Moran's I
- Variograms — Variograms
- Tobler's law — Tobler's law
- Stationarity assumptions — Stationarity assumptions
Geostatistics
- Empirical — Empirical
- Theoretical variograms — Theoretical variograms
- Ordinary kriging — Ordinary kriging
- Kriging variance — Kriging variance
- Cross-validation — Cross-validation
- Spatial interpolation vs regression — Spatial interpolation vs regression
- Anisotropy — Anisotropy
- Nested structures (intro) — Nested structures (intro)
Spatial regression
- Spatial lag — Spatial lag
- Spatial error models (introduction) — Spatial error models (introduction)
- Point process models overview — Point process models overview
- Disease mapping — Disease mapping
- Smoothed rate estimation — Smoothed rate estimation
- Software: sp, sf, gstat in R (or GeoPandas) — Software: sp, sf, gstat in R (or GeoPandas)
Multi-Unit Problems
Course-level sets that combine skills across study units (coming soon).
Browse Multi-Unit ProblemsWhat each unit includes
Open a unit below for full materials. Typical resources:
- Study guide
- Exam Strategy
- Common Mistakes
- Worksheets
- Word problems
- Mixed Practice
- Multi-Unit Problems
- Review
- Practice test
- Answer key
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Spatial data concepts
Point and areal data
Coming soon - Geostatistics
Empirical
Coming soon - Spatial regression
Spatial lag
Coming soon
Pricing calculator
Choose materials, tutoring, or both — or book a single session as needed. Customize your plan on the subscribe page.
$1,162 · Spatial statistics · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.