GIS and Spatial Analysis of Housing and Mortgage Markets

Ayşe Can

70 citations0/0 files storedJournal of Housing Research

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Housing Market and Economics Urban, Neighborhood, and Segregation Studies Spatial and Panel Data Analysis

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.

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References

1995Local Indicators of Spatial Association—LISA 1988Spatial Econometrics: Methods and Models 1992The Analysis of Spatial Association by Use of Distance Statistics 1964Location and Land Use: Toward a General Theory of Land Rent 1995Local Spatial Autocorrelation Statistics: Distributional Issues and an Application 1983Spatial Processes, Models and Applications 1970Cities and Housing.1992Mortgage Lending in Boston: Interpreting HMDA Data

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