Get the expertise you need to unearth spatial distributions, patterns,
and relationships in your data.
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.
BLUE RASTER CAN HELP YOU:
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.
READY TO GET STARTED?
Fill out our one page questionnaire and provide us with the building blocks to successfully implement spatial statistics in your work.
Or, get in touch by email: info@blueraster.com