R: Functions for Kriging and Point Pattern Analysis

# Functions for Kriging and Point Pattern Analysis

## Documentation for package ‘spatial’ version 7.3-18

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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