GIS and Spatial Analysis of Housing and Mortgage Markets

نویسنده

  • Ayşe Can
چکیده

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.

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تاریخ انتشار 1998