Abstract

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1. Use ArcGIS to demonstrate the value of linking Medicaid claims databases to geographic maps.
   
   
2. Identify spatial heterogeneities in regression models of georeferenced Medicaid claims for diabetes within the state of Texas.
   
   
3. Use ArcObjects and SAS bridge for Esri to construct GWR models that show dependencies of per capita expenditures on demographic attributes, such as race and poverty, and geographic location.
   
   
4. Research potential pitfalls in using GWR through examination of multicollinearity among local GWR regression coefficients.