Spatial Data Science

Spatial data science (SDS) is a subset of Data Science that focuses on the unique characteristics of spatial data, moving beyond simply looking at where things happen to understand why they happen there.

SDS treats location, distance & spatial interactions as core aspects of the data using specialized methods & software to analyze, visualize & apply learnings to spatial use cases.