Package: spatial 7.3-17

Brian Ripley

spatial: Functions for Kriging and Point Pattern Analysis

Functions for kriging and point pattern analysis.

Authors:Brian Ripley [aut, cre, cph], Roger Bivand [ctb], William Venables [cph]

# Install 'spatial' in R:

install.packages('spatial', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 1 years agofrom:e3a3fc831d. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 05 2024
R-4.5-linux-x86_64	OK	Sep 05 2024

Dependencies:

Help page	Topics
Anova tables for fitted trend surface objects	anova.trls anovalist.trls
Compute Spatial Correlograms	correlogram
Spatial Covariance Functions	expcov gaucov sphercov
Average K-functions from Simulations	Kaver
Compute Envelope and Average of Simulations of K-fns	Kenvl
Compute K-fn of a Point Pattern	Kfn
Get Domain for Spatial Point Pattern Analyses	ppgetregion
Read a Point Process Object from a File	ppinit
Pseudo-likelihood Estimation of a Strauss Spatial Point Process	pplik
Set Domain for Spatial Point Pattern Analyses	ppregion
Predict method for trend surface fits	predict.trls
Evaluate Kriging Surface over a Grid	prmat
Simulate Binomial Spatial Point Process	Psim
Evaluate Kriging Standard Error of Prediction over a Grid	semat
Simulates Sequential Spatial Inhibition Point Process	SSI
Simulates Strauss Spatial Point Process	Strauss
Fits a Trend Surface by Generalized Least-squares	surf.gls
Fits a Trend Surface by Least-squares	surf.ls
Regression diagnostics for trend surfaces	plot.trls trls.influence
Evaluate Trend Surface over a Grid	trmat
Compute Spatial Variogram	variogram