A Geo-Statistical Method to Define Districts within a City

Rafael Cano-Guervos, Jorge Chica-Olmo and Jose A Hermoso-Gutierrez
Authors registered in the RePEc Author Service: rafael cano guervós, Sr. ()

The Journal of Real Estate Finance and Economics, 2003, vol. 27, issue 1, 85 pages

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

Date: 2003
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://journals.kluweronline.com/issn/0895-5638/contents link to full text (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:jrefec:v:27:y:2003:i:1:p:61-85

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11146/PS2

Access Statistics for this article

The Journal of Real Estate Finance and Economics is currently edited by Steven R. Grenadier, James B. Kau and C.F. Sirmans

More articles in The Journal of Real Estate Finance and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().