Functions for Kriging and Point Pattern Analysis
Functions for kriging and point pattern analysis.
Average K-functions from Simulations
Compute Envelope and Average of Simulations of K-fns
Compute K-fn of a Point Pattern
Simulate Binomial Spatial Point Process
Simulates Sequential Spatial Inhibition Point Process
Simulates Strauss Spatial Point Process
Anova tables for fitted trend surface objects
Compute Spatial Correlograms
Spatial Covariance Functions
Get Domain for Spatial Point Pattern Analyses
Read a Point Process Object from a File
Pseudo-likelihood Estimation of a Strauss Spatial Point Process
Set Domain for Spatial Point Pattern Analyses
Predict method for trend surface fits
Evaluate Kriging Surface over a Grid
Evaluate Kriging Standard Error of Prediction over a Grid
Fits a Trend Surface by Generalized Least-squares
Fits a Trend Surface by Least-squares
Regression diagnostics for trend surfaces
Evaluate Trend Surface over a Grid
Compute Spatial Variogram
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