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Using Geographic Information Systems to Improve Real Estate Analysis

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Abstract

Geographic information systems (GIS) technology provides users with the ability to improve real estate analysis. First, we describe GIS in general and then discuss some GIS real estate applications. Next, we illustrate how GIS can be used to calculate a shortest-path algorithm that produces a location variable superior to the traditionally used straight-line distance variable. Our sample provides empirical evidence of a statistically significant relationship between residential sales prices and the additional information provided by the GIS-created variable.

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File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol10n02/v10p163.pdf
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Bibliographic Info

Article provided by American Real Estate Society in its journal Journal of Real Estate Research.

Volume (Year): 10 (1995)
Issue (Month): 2 ()
Pages: 163-174

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Handle: RePEc:jre:issued:v:10:n:2:1995:p:163-174

Contact details of provider:
Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
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Web page: http://www.aresnet.org/

Order Information:
Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
Email:
Web: http://aux.zicklin.baruch.cuny.edu/jrer/about/get.htm

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Cited by:
  1. Claude Besner, 2002. "A Spatial Autoregressive Specification with a Comparable Sales Weighting Scheme," Journal of Real Estate Research, American Real Estate Society, vol. 24(2), pages 193-212.
  2. John Clapp & Mauricio Rodriguez, 1998. "Using a GIS for Real Estate Market Analysis: The Problem of Spatially Aggregated Data," Journal of Real Estate Research, American Real Estate Society, vol. 16(1), pages 35-56.

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