Package index • spatial

All 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

Psim(): Simulate Binomial Spatial Point Process

SSI(): Simulates Sequential Spatial Inhibition Point Process

Strauss(): Simulates Strauss Spatial Point Process

anova(<trls>) anovalist.trls(): Anova tables for fitted trend surface objects

correlogram(): Compute Spatial Correlograms

expcov() gaucov() sphercov(): Spatial Covariance Functions

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

semat(): Evaluate Kriging Standard Error of Prediction over a Grid

surf.gls(): Fits a Trend Surface by Generalized Least-squares

surf.ls(): Fits a Trend Surface by Least-squares

trls.influence() plot(<trls>): Regression diagnostics for trend surfaces

trmat(): Evaluate Trend Surface over a Grid

variogram(): Compute Spatial Variogram