Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging
Jorge Chica-Olmo
Journal of Real Estate Research, 2007, vol. 29, issue 1, 91-114
Abstract:
Cokriging is a multivariate spatial method to estimate spatial correlated variables. This method allows spatial estimations to be made and interpolated maps of house price to be created. These maps are interesting for appraisers, real estate companies, and bureaus because they provide an overview of location prices. Kriging uses one variable of interest (house price) to make estimates at unsampled locations, and cokriging uses the variable of interest and auxiliary correlated variables. In this paper, housing location price is estimated using kriging methods, isotopic data cokriging, and heterotopic data cokriging methods. The results of these methods are then compared.
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/10835547.2007.12091188 (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:taf:rjerxx:v:29:y:2007:i:1:p:91-114
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjer20
DOI: 10.1080/10835547.2007.12091188
Access Statistics for this article
Journal of Real Estate Research is currently edited by William Hardin and Michael Seiler
More articles in Journal of Real Estate Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().