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spatial (version 7.3-12)

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

7.3-12

License

GPL-2 | GPL-3

Maintainer

Brian Ripley

Last Published

April 26th, 2020

Functions in spatial (7.3-12)

expcov

Spatial Covariance Functions

ppinit

Read a Point Process Object from a File

Psim

Simulate Binomial Spatial Point Process

Kaver

Average K-functions from Simulations

pplik

Pseudo-likelihood Estimation of a Strauss Spatial Point Process

prmat

Evaluate Kriging Surface over a Grid

semat

Evaluate Kriging Standard Error of Prediction over a Grid

SSI

Simulates Sequential Spatial Inhibition Point Process

Strauss

Simulates Strauss Spatial Point Process

variogram

Compute Spatial Variogram

Kenvl

Compute Envelope and Average of Simulations of K-fns

trls.influence

Regression diagnostics for trend surfaces

correlogram

Compute Spatial Correlograms

surf.gls

Fits a Trend Surface by Generalized Least-squares

anova.trls

Anova tables for fitted trend surface objects

trmat

Evaluate Trend Surface over a Grid

surf.ls

Fits a Trend Surface by Least-squares

ppregion

Set Domain for Spatial Point Pattern Analyses

predict.trls

Predict method for trend surface fits

ppgetregion

Get Domain for Spatial Point Pattern Analyses

Kfn

Compute K-fn of a Point Pattern