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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