Regression Analysis for Spatial Data: Techincal Workshop at the ESRI User Conference
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
This seminar will definetly serve the interest of social scientist community. But we must admit though that in spite of common use of statistics within social sciences there will be many other parties that may be benefit from participating in this event.
Enginers, land developers, planners and other related professionals are using GIS and statistical methods in their day-to-day activities. So these GIS players should also join the fun either on 15th or the 16th of july:).
i would like to attend the training programme on groundwater resources application in statistics with remote sensing and gis