SPP Procedure
The SPP procedure analyzes spatial point patterns. The broad goal of spatial point pattern analysis is to describe the occurrence of
events (observations) that compose the pattern. The event locations are a discrete realization of a random spatial process. Therefore,
the analysis goal is to investigate and characterize the original spatial process that generated the events in the spatial point pattern.
The procedure's capabilities include the following:
 fits an inhomogeneous Poisson process model and produce a variety of residual diagnostics
 performs a simulation based goodnessoffit test for the fitted intensity model
 produces a nonparametric estimate of the firstorder intensity
 computes the F, G, J, K, L, and pair correlation functions and performs a test for complete spatial randomness based on these functions
 performs a quadrat based test for complete spatial randomness
 performs marked point pattern analysis by using character mark variables

 automatically computes the study area bounds for the spatial point pattern by using the RipleyRasson estimator
 performs covariate dependency tests that are based on an empirical distribution function
 manages duplicate records
 performs BY group processing, which enables you to obtain separate analyses on grouped observations
 creates a SAS data set that corresponds to any output table
 automatically creates graphs by using ODS Graphics

For further details see the SPP Procedure
Examples