Spatial Statistics

Get the expertise you need to unearth spatial distributions, patterns,
and relationships in your data.

Turn big data into big ideas

Spatial statistics are used for a variety of different types of analyses, including pattern analysis, shape analysis, surface modeling and surface prediction, spatial regression, statistical comparisons of spatial datasets, statistical modeling and prediction of spatial interaction, and more. The many types of spatial statistics include descriptive, inferential, exploratory, geostatistical, and econometric statistics.


Emerging Hot Spots Analysis

Esri’s emerging hot spots analysis tool identifies trends in new, intensifying, diminishing, and sporadic hot and cold spots in your data. It has been applied to analyze spatial patterns of crime incidents and disease outbreaks, where mapping patterns of occurrence over time has formed strategies for interventions.

In partnership with the World Resources Institute, Blue Raster used the emerging hot spots tool in combination with big data analysis to find statistically significant trends in tree cover loss through space and time. In applying these concepts to forest loss, WRI was able to gather insights for rapid, consistent identification of priority forest areas for management intervention.

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