Spatial Descriptive Statistics and Spatial Regression

In this tutorial, we explore spatial regression analysis as a tool to quantitatively understand correlations between spatially distributed phenomena. While maps and visual inspection can highlight patterns, spatial regression provides a robust statistical framework to confirm and measure these relationships. Using ArcGIS Pro, this lab focuses on the distribution of Sasquatch sightings in Washington State and examines how they relate to both human activity and environmental variables. You’ll learn how to apply multiple regression techniques, interpret results, and connect spatial data analysis with m Workflow Covered in the Tutorial: Preparing and exploring spatial datasets Running spatial descriptive statistics Applying multiple spatial regression techniques Visualizing and interpreting model outputs This tutorial is designed to give you hands-on experience with spatial regression in ArcGIS Pro, making it easier to understand the strengths and limitations of statistical modeling in spatial analysis. ✨ Don’t forget to like, share, and subscribe if you found this tutorial helpful! #ArcGISPro #SpatialRegression #GIS #GeospatialAnalysis #GI #SpatialStatistics