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spatial (version 7.3-11)
Functions for Kriging and Point Pattern Analysis
Description
Functions for kriging and point pattern analysis.
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Install
install.packages('spatial')
Monthly Downloads
33,346
Version
7.3-11
License
GPL-2 | GPL-3
Maintainer
Brian Ripley
Last Published
August 30th, 2015
Functions in spatial (7.3-11)
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Strauss
Simulates Strauss Spatial Point Process
surf.gls
Fits a Trend Surface by Generalized Least-squares
Kfn
Compute K-fn of a Point Pattern
ppgetregion
Get Domain for Spatial Point Pattern Analyses
semat
Evaluate Kriging Standard Error of Prediction over a Grid
ppinit
Read a Point Process Object from a File
trmat
Evaluate Trend Surface over a Grid
trls.influence
Regression diagnostics for trend surfaces
Psim
Simulate Binomial Spatial Point Process
Kaver
Average K-functions from Simulations
prmat
Evaluate Kriging Surface over a Grid
variogram
Compute Spatial Variogram
correlogram
Compute Spatial Correlograms
expcov
Spatial Covariance Functions
anova.trls
Anova tables for fitted trend surface objects
SSI
Simulates Sequential Spatial Inhibition Point Process
ppregion
Set Domain for Spatial Point Pattern Analyses
predict.trls
Predict method for trend surface fits
surf.ls
Fits a Trend Surface by Least-squares
Kenvl
Compute Envelope and Average of Simulations of K-fns
pplik
Pseudo-likelihood Estimation of a Strauss Spatial Point Process