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spatial (version 7.3-19)
Functions for Kriging and Point Pattern Analysis
Description
Functions for kriging and point pattern analysis.
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7.3-19
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Install
install.packages('spatial')
Monthly Downloads
48,503
Version
7.3-19
License
GPL-2 | GPL-3
Maintainer
Brian Ripley
Last Published
August 3rd, 2026
Functions in spatial (7.3-19)
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SSI
Simulates Sequential Spatial Inhibition Point Process
surf.gls
Fits a Trend Surface by Generalized Least-squares
Kfn
Compute K-fn of a Point Pattern
Psim
Simulate Binomial Spatial Point Process
surf.ls
Fits a Trend Surface by Least-squares
predict.trls
Predict method for trend surface fits
trmat
Evaluate Trend Surface over a Grid
topo
Spatial Topographic Data
variogram
Compute Spatial Variogram
Strauss
Simulates Strauss Spatial Point Process
trls.influence
Regression diagnostics for trend surfaces
pplik
Pseudo-likelihood Estimation of a Strauss Spatial Point Process
ppinit
Read a Point Process Object from a File
expcov
Spatial Covariance Functions
ppgetregion
Get Domain for Spatial Point Pattern Analyses
Kaver
Average K-functions from Simulations
Kenvl
Compute Envelope and Average of Simulations of K-fns
correlogram
Compute Spatial Correlograms
anova.trls
Anova tables for fitted trend surface objects
prmat
Evaluate Kriging Surface over a Grid
ppregion
Set Domain for Spatial Point Pattern Analyses
semat
Evaluate Kriging Standard Error of Prediction over a Grid