Spatial statistics
Commands are available form forming variograms and for producing kriged estimates.
forms auto-variograms for individual variates or cross-variograms for pairs of variates
fits models to an experimental variogram
plots fitted models to an experimental variogram
calculates kriged estimates using a model fitted to a sample
variogram
forms a covariogram structure containing auto-variograms
of individual variates and cross-variograms for pairs from a list of variates
fits models to sets of variograms and cross variograms
plots 2-dimensional auto- and cross-variograms
calculates kriged estimates using a model fitted to the sample
variograms and cross variograms of a set of variates
computes cross validation statistics for punctual
kriging
Procedures in the spatialstatistics module of the Library include:
analyses a field trial using the Linear Variance Neighbour
model
produces diagnostic plots for space-time clustering
draws polygons using high-resolution graphics
draws maps for spatial point patterns using high-resolution
graphics
adds points interactively to a spatial point pattern
reads a polygon interactively from the current graphics
device
calculates an estimate of the F nearest-neighbour distribution
function
gives the F function expectation under complete spatial
randomness
calculates an estimate of the G nearest-neighbour distribution
function
randomly labels two or more spatial point patterns
randomly thins a spatial point pattern
performs a random toroidal shift on a spatial point pattern
generates completely spatially random points in a polygon
simulates K function bounds under complete spatial
randomness
calculates an estimate of the K function
gives bounds for K function differences under random
labelling
calculates s.e. for K function differences under random labelling
calculates an estimate of the K function in space, time and space-time
performs a Monte-Carlo test for space-time interaction
calculates the standard error for the space-time K function
gives bounds for the bivariate K function under
independence
calculates an estimate of the bivariate K function
estimates the mean square error for a kernel smoothing
calculates the area of a polygon
generates a box bounding or surrounding a spatial point pattern
closes open polygons
gives summary and second order statistics for a point
process
generates a grid of points in a polygon
calculates the overall density for a spatial point pattern
performs kernel smoothing of a spatial point pattern
performs kernel smoothing of space-time data
removes points interactively from a spatial point pattern
rotates a point pattern
returns points inside or outside a polygon