GIS and Spatial Analysis of Housing and Mortgage Markets

Ayşe Can

Journal of Housing Research, 1998, vol. 9, issue 1, 61-86

Abstract: This article provides a spatial analytical framework for using Geographic Information Systems (GIS) technology in housing and mortgage market research. It discusses the nature of neighborhood effects and their influence in residential market behavior and outcomes. It then discusses how GIS can aid with empirical research investigations.GIS, coupled with spatial analytical tools, offers an ideal research environment for processing, analyzing, and modeling housing and mortgage data sets. GIS offers powerful data mapping and visualization functionality to facilitate spatial explorations of the data. It also allows data from multiple sources and disparate formats to be integrated. Its powerful spatial querying and overlay capabilities greatly facilitate the organization and management of data sets to fit research needs. Finally, GIS is especially significant for constructing spatial variables.

Date: 1998
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10835547.1998.12091927 (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:rjrhxx:v:9:y:1998:i:1:p:61-86

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjrh20

DOI: 10.1080/10835547.1998.12091927

Access Statistics for this article

Journal of Housing Research is currently edited by Kimberly Goodwin

More articles in Journal of Housing Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().