A Geo-Statistical Method to Define Districts within a City

Posted: 11 Mar 2003

Abstract

The aim of this study is to present a methodology that may be used for districting, that is, to divide a city into homogeneous districts, using the housing characteristics of the city as the criterion for such a division. The methodology is based on the use of Principal Component Analysis into the Theory of Regionalized Variables. Moreover, it included a series of multivariate techniques to verify the degree of discrimination achieved between the various districts identified. The theoretical description is complemented by the application of this districting methodology to the city of Granada. Furthermore, the districting obtained throughout this methodology is compared with that established by the public administration. This verifies which of the two districtings achieves that the defined districts be different, as regards the housing characteristics.

Keywords: Theory of Regionalized Variables, Block Kriging, Iterative Residual Kriging, Principal Components Analysis, Canonical Discriminant Function Analysis, Districting

Suggested Citation

Cano Guervós, Rafael Arturo and Chica Olmo, Jorge and Hermoso Gutiérrez, José Alberto, A Geo-Statistical Method to Define Districts within a City. Available at SSRN: https://ssrn.com/abstract=351160

Rafael Arturo Cano Guervós (Contact Author)

Universidad de Granada ( email )

Facultad de Ciencias Economicas y Empresariales
Campus Cartuja
18071 Granada
Spain

Jorge Chica Olmo

Universidad de Granada ( email )

Granada
Spain
958249922 (Phone)

José Alberto Hermoso Gutiérrez

Universidad de Granada ( email )

Granada
Spain
958249914 (Phone)

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