Functions for Kriging and Point Pattern Analysis

Documentation for package `spatial' version 7.2-23

anova.trls	Anova tables for fitted trend surface objects
anovalist.trls	Anova tables for fitted trend surface objects
correlogram	Compute Spatial Correlograms
expcov	Spatial Covariance Functions
gaucov	Spatial Covariance Functions
Kaver	Average K-functions from Simulations
Kenvl	Compute Envelope and Average of Simulations of K-fns
Kfn	Compute K-fn of a Point Pattern
plot.trls	Regression diagnostics for trend surfaces
ppgetregion	Get Domain for Spatial Point Pattern Analyses
ppinit	Read a Point Process Object from a File
pplik	Pseudo-likelihood Estimation of a Strauss Spatial Point Process
ppregion	Set Domain for Spatial Point Pattern Analyses
predict.trls	Predict method for trend surface fits
prmat	Evaluate Kriging Surface over a Grid
Psim	Simulate Binomial Spatial Point Process
semat	Evaluate Kriging Standard Error of Prediction over a Grid
sphercov	Spatial Covariance Functions
SSI	Simulates Sequential Spatial Inhibition Point Process
Strauss	Simulates Strauss Spatial Point Process
surf.gls	Fits a Trend Surface by Generalized Least-squares
surf.ls	Fits a Trend Surface by Least-squares
trls.influence	Regression diagnostics for trend surfaces
trmat	Evaluate Trend Surface over a Grid
variogram	Compute Spatial Variogram