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Räumliche Regressionsmodelle als leistungsfähige Methoden zur Erklärung der Driving Forces von Zuzügen in der Stadtregion Wien?
In metropolitan regions population development is a continuous and dynamic process and in matters of analyzing it a huge variety of methodical approaches exists. This article introduces the simultaneous autoregressive model and the geographically weighted regression which can be seen as an innovative methodical enhancement of the usual global regression model. Using the urban region of Vienna as case study, the influence of “hard” location factors like land price, accessibilities etc. on in-migration for the period 2004-2006 is analyzed. The explanatory content of the approach as a whole and its additional value will be discussed conclusively, mainly with regard to newer, postsuburban processes in urban regions.
Räumliche Regressionsmodelle als leistungsfähige Methoden zur Erklärung der Driving Forces von Zuzügen in der Stadtregion Wien?
In metropolitan regions population development is a continuous and dynamic process and in matters of analyzing it a huge variety of methodical approaches exists. This article introduces the simultaneous autoregressive model and the geographically weighted regression which can be seen as an innovative methodical enhancement of the usual global regression model. Using the urban region of Vienna as case study, the influence of “hard” location factors like land price, accessibilities etc. on in-migration for the period 2004-2006 is analyzed. The explanatory content of the approach as a whole and its additional value will be discussed conclusively, mainly with regard to newer, postsuburban processes in urban regions.
Räumliche Regressionsmodelle als leistungsfähige Methoden zur Erklärung der Driving Forces von Zuzügen in der Stadtregion Wien?
Marco Helbich (author) / Peter J. Görgl (author)
2010
Article (Journal)
Electronic Resource
Unknown
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TIBKAT | 1.2001; [2.]2002(2003) - [4.]2004/05(2005); 5.2007/08(2008) -