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. |