Back to glossary

Geographically Weighted Regression GWR

Table of Contents

Geographically Weighted Regression (GWR) quantifies the strength of relationships across space between a target and correlation variables. Unlike non-spatial regression, these relationships are also tested - and weighted - spatially.

Table of Contents

Geographically Weighted Regression GWR

Geographically Weighted Regression (GWR) quantifies the strength of relationships across space between a target and correlation variables. Unlike non-spatial regression, these relationships are also tested - and weighted - spatially.

Related Terms

See full glossary
Hotspot Analysis
Agglomerative Clustering
Bayes Theorem

Related Content

Blog
How Geographically Weighted Regression Works

Find out what Geographically Weighted Regression (GWR) is, how it works, when to use it and how to use spatial indexes in conjunction.

Read more
Report
Modernizing the Geospatial Analysis Stack

The ultimate handbook for navigating the new geospatial landscape. Learn to optimize your tech stack for bigger, faster and more collaborative spatial analysis.

Download now
Report
A Go-To Guide for Hiring Spatial Data Scientists

Learn the best practices that you can put to work immediately to ensure your organization is ready to hire the industry’s best spatial data scientists.

Download now