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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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Version

Install

install.packages('spatial')

Monthly Downloads

30,732

Version

7.3-11

License

GPL-2 | GPL-3

Maintainer

Brian Ripley

Last Published

August 30th, 2015

Functions in spatial (7.3-11)

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