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Spatial Statistics Data
Gosia Konwerska
Spatial point data, also known as spatial point patterns, refers to collections of points (or events) in space. Examples include trees in a forest, gold deposits, positions of stars, earthquakes, crime locations, animal sightings, etc. Spatial data analysis, as a statistical exploration of point patterns, aims to answer questions about spatial randomness, point intensity and interpoint interactions. In this talk, Gosia Konwerska will explore the existing and upcoming Wolfram Language functionality designed for the analysis and modeling of spatial point data.
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