Regression Analysis for Spatial Data with ArcGIS 9.3
Wednesday, 15 July 2009, 10:15 a.m. to 11:30 a.m., Room 1 A/B
Thursday, 16 July 2009, 5:15 p.m. to 4:30 p.m., Room 1 A/B
Regression analysis is one of the most commonly used statistic in the social sciences. Ordinary Least Squares Regression (OLS) and Geographically Weighted Regression (GWR) evaluate relationships among two or more feature attributes. By identifying and measuring relationships, you are in a better position to understand what’s going on in a place, to predict where something is likely to occur, or to investigate why things occur where they do. This presentation will cover basic regression analysis concepts, diagnostics, and workflow as they relate to the analysis of spatial data. Emphasis will be on Ordinary Least Squares Regression (the precursor to all spatial regression techniques) and Geographically Weighted Regression, both implemented in ArcGIS 9.3.
Presenters: ESRI’s Lauren Scott and Mark Janikas