XploRe Help: Function Index

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

spatial

Loads the dll needed for the quantlets in spatial.

tests the functionality of the spatial interpolation, smoothing and kriging quantlets that have been adapted from Venables and Ripley (1999).

spatialSPPPtest

tests the functionality of the spatial point process analysis quantlets that have been adapted from Venables and Ripley (1999).

SPKRcorrelogram

computes spatial correlograms of spatial data or residuals. Initially, it divides the range of the data into nint bins, 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 not

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

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

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