Spatial Point Processes
Spatial point processes are models for spatial point configurations. They can be used to generate random point configurations following that model. This is often useful for generating data or designs, such as a Poisson forest. Conversely, given point data, the best-fitting point process that could have generated that data can be estimated. This gives close coupling between data and models. The Wolfram Language provides a rich collection of point process models, which, together with random sampling and estimation, provides deep integration into the rest of spatial statistics, geometry, geography and visualization.
Simulation, Estimation and Testing
RandomPointConfiguration — simulate a point process to give a point collection
EstimatedPointProcess — estimate a point process from spatial point configurations
PointProcessFitTest — test whether data follows a point process
PointCountDistribution — give the distribution of point counts for a region
FindPointProcessParameters ▪ PointProcessParameterQ ▪ PointProcessEstimator ▪ PointProcessParameterAssumptions
Spatial Point Data and Statistics »
SpatialPointData — create and represent spatial point data with observation region
SpatialBinnedPointData — create and represent aggregated point data with any region partition
ResourceData — spatial point datasets from a variety of sources
MeanPointDensity ▪ PointDensity ▪ RipleyK ▪ EmptySpaceF ▪ ...
Independent Point Processes
PoissonPointProcess — constant intensity
InhomogeneousPoissonPointProcess — varying intensity
BinomialPointProcess — uniform distribution of n points
Interaction Point Processes
HardcorePointProcess — hard-core with no point interaction within radius
StraussPointProcess — soft-core with limited point interaction within radius
StraussHardcorePointProcess — hard-core limited point interaction between two radii
PenttinenPointProcess — strength of interaction based on overlapping disk area
DiggleGrattonPointProcess — hard-core interaction with a gradual transition
DiggleGatesPointProcess — gradual hard-core to soft-core interaction
GibbsPointProcess — completely general point interaction
Clustered Point Processes
MaternPointProcess — cluster process with uniform (daughter) pattern in disk (isotropic)
ThomasPointProcess — cluster process with normal (daughter) pattern (isotropic)
CauchyPointProcess — cluster process with heavy (daughter) pattern (isotropic)
VarianceGammaPointProcess — cluster process with variance-gamma (daughter) pattern (isotropic)
NeymanScottPointProcess — general cluster process with inhomogeneous base point process and general point process as daughter process