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A Geo-Statistical Method to Define Districts within a City

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  • Cano-Guervos, Rafael
  • Chica-Olmo, Jorge
  • Hermoso-Gutierrez, Jose A

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 districting achieves that the defined districts be different, as regards the housing characteristics. Copyright 2003 by Kluwer Academic Publishers

Suggested Citation

  • Cano-Guervos, Rafael & Chica-Olmo, Jorge & Hermoso-Gutierrez, Jose A, 2003. "A Geo-Statistical Method to Define Districts within a City," The Journal of Real Estate Finance and Economics, Springer, vol. 27(1), pages 61-85, July.
    • Handle: RePEc:kap:jrefec:v:27:y:2003:i:1:p:61-85
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    Cited by:

    1. David C. Wheeler & Antonio Páez & Jamie Spinney & Lance A. Waller, 2014. "A Bayesian approach to hedonic price analysis," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 663-683, August.
    2. Jamie Spinney & Pavlos Kanaroglou & Darren Scott, 2011. "Exploring Spatial Dynamics with Land Price Indexes," Urban Studies, Urban Studies Journal Limited, vol. 48(4), pages 719-735, March.

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