Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: spatial

spatialmain Loads the dll needed for the quantlets in spatial.
SPKRcorrelogram Computes spatial correlograms of spatial data or residuals. Initially, it divides the range of the data into nint bins, and computes the covariance for pairs with separation in each bin, then divides by the variance. It returns results only for bins with 6 or more pairs.
SPKRexpcov Spatial covariance function for use with SPKRsurfgls.
SPKRgaucov Spatial covariance function for use with SPKRsurfgls.
SPKRmultcontours Draws multiple contour lines of a spatial object of type "trmat", "prmat", or "semat".
SPKRprmat Evaluates a Kriging surface over a grid.
SPKRsemat Evaluates a Kriging standard error of prediction surface over a grid.
SPKRsphercov Spatial covariance function for use with SPKRsurfgls.
SPKRsurfgls Fits a trend surface by generalized least squares.
SPKRsurfls Fits a trend surface, i.e., a polynomial regression surface, by least squares.
SPKRtrmat Evaluates a trend surface over a grid.
SPKRvariogram Computes spatial (semi-)variograms of spatial data or residuals. Initially, it divides the range of the data into nint bins, and computes the average squared difference for pairs with separation in each bin. It returns results only for bins with 6 or more pairs.
SPPPgetregion Retrieves the rectangular spatial domain that previously has been set by SPPPinit or SPPPsetregion.
SPPPinit Creates a point process object and calls SPPPsetregion to set the rectangular spatial domain.
SPPPinitrandom Resets the random number generator for point processes.
SPPPkaver Computes average of simulations of K-fns.
SPPPkenvl Computes envelope (upper and lower limits) and average of simulations of K-fns.
SPPPkfn Computes K-fn of a point pattern. Actually, it computes L = sqrt(K / pi). Note that SPPPinit or SPPPsetregion must have been called before.
SPPPpsim Simulates a Binomial (Poisson) spatial point process. Note that SPPPinit or SPPPsetregion must have been called before to set the domain. To be able to reproduce results, reset the random number generator for point processes by calling SPPPinitrandom first.
SPPPsetregion Sets the rectangular spatial domain for spatial point pattern analysis.
SPPPssi Simulates a SSI (sequential spatial inhibition) point process. Note that SPPPinit or SPPPsetregion must have been called before to set the domain. To be able to reproduce results, reset the random number generator for point processes by calling SPPPinitrandom first. Note that this quantlet will never return a result if r is too large and it is impossible to place n points.
SPPPstrauss Simulates a Strauss spatial point process. It uses a spatial birth-and-death process for (4 n) steps (or for (40 n) steps when starting from a binomial pattern on the first call from another function). Note that SPPPinit or SPPPsetregion must have been called before to set the domain. To be able to reproduce results, reset the random number generator for point processes by calling SPPPinitrandom first.

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

(C) MD*TECH Method and Data Technologies, 21.9.2000