In recent years, the need and the interest of the scientific community for other methods to analyze and represent data has driven many researchers to explore new ways. One of the most interesting techniques provided by spatial statistical literature was the introduction by Brundson et al. (1996) of the Geographically Weighted Regression (GWR). In the light of this, we decided to conduct a more detailed analysis of the relationships between the TFR (Total Fertility Rate) of the 103 Italian provinces in 2005 and some well known social and demographic determinants based on the ordinary least squares (OLS) regression and the GWR method. The aim of this work is to show the improvement in model performance of GWR over OLS.
Local analysis of spatial relationships: a comparison of GWR and OLS method
MUCCIARDI, Massimo
2010-01-01
Abstract
In recent years, the need and the interest of the scientific community for other methods to analyze and represent data has driven many researchers to explore new ways. One of the most interesting techniques provided by spatial statistical literature was the introduction by Brundson et al. (1996) of the Geographically Weighted Regression (GWR). In the light of this, we decided to conduct a more detailed analysis of the relationships between the TFR (Total Fertility Rate) of the 103 Italian provinces in 2005 and some well known social and demographic determinants based on the ordinary least squares (OLS) regression and the GWR method. The aim of this work is to show the improvement in model performance of GWR over OLS.Pubblicazioni consigliate
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