Spatial Events-Spatial Statistics
Spatial point patterns are collections of randomly positioned events in space. Examples include trees in a forest, positions of stars, earthquakes, crime locations, animal sightings, etc.
Spatial point data analysis, as a statistical exploration of point patterns, aims to answer questions about spatial randomness, point density and interpoint interactions.
In this talk, we will explore the existing Wolfram Language functionality designed for the analysis and modeling of spatial events.