Functions for Kriging and Point Pattern Analysis


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Documentation for package ‘spatial’ version 7.3-9

Help Pages

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