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Terminology:

“Response types” refer to either unbounded counts (e.g., Poisson and negative binomial random variables), bounded counts (e.g., Bernoulli, binomial, multinomial), or continuous data.

“Spatio-temporal” refers to the setting where each observation has an associated region/location and a time point associated with it.

Key:

Green= Single response type, which is dependent across observations

Red= Single response type that shows dependence across variables, locations, and time points

Purple = Single response type that shows dependence across spatial and temporal scales (e.g., counties, states, census tracts, time periods, etc.)

Some Important Spatial Statistics R Codes:

• Code Set 1: Visualizations

• Code Set 2: Example of Estimating Variograms, Covariograms, and Kriging

• Code Set 3: Example of fitting a Spatial Basis Function Expansion

• Code Set 4: Example use of Moran's I and Geary's C

• Code Set 5: Example of fitting a SAR and CAR model

• Code Set 6: Gibbs Sampling of Stationary Process Example

• Code Set 7: Metropolis within Gibbs Sampler Example for Poisson Data

• Code Set 8: Obtain the adjacency matrix from a shape file

• Code Set 9: Example "Big Spatial Data" Code