Quote of the Day

goodchild“…analysis does not have to involve complex mathematical operations, but begins in the human mind as soon as the map is in view, because the eye and brain are enormously efficient at detecting patterns and finding anomalies in maps and other visual displays. GIS works best when the computer and the brain combine forces, and when GIS is used to augment human intuition by manipulating and displaying data in ways that reveal things that would otherwise be invisible.”

–Dr. Michael F. Goodchild

Regression Analysis for Spatial Data: Techincal Workshop at the ESRI User Conference

uc2009
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

ESRI UC web site