spatial v7.3-11

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by Brian Ripley View Source

Functions for Kriging and Point Pattern Analysis

Functions for kriging and point pattern analysis.

Name	Description
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
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Priority	recommended
Date	2015-08-29
LazyLoad	yes
ByteCompile	yes
License	GPL-2 \| GPL-3
URL	http://www.stats.ox.ac.uk/pub/MASS4/
NeedsCompilation	yes
Packaged	2015-08-28 15:25:37 UTC; ripley
Repository	CRAN
Date/Publication	2015-08-30 08:59:41

depends	base (>= 3.0.0) , graphics , R (>= 3.0.0) , stats , utils
suggests	MASS
Contributors	Brian Ripley, Roger Bivand, William Venables