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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.

Suggested Citation

  • Mauricio Rodriguez & C.F. Sirmans & Allen P. Marks, 1995. "Using Geographic Information Systems to Improve Real Estate Analysis," Journal of Real Estate Research, American Real Estate Society, vol. 10(2), pages 163-174.
    • Handle: RePEc:jre:issued:v:10:n:2:1995:p:163-174
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    Citations

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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. Tom Kauko, 2004. "Towards Infusing Institutions and Agency into House Price Analysis," Urban Studies, Urban Studies Journal Limited, vol. 41(8), pages 1507-1519, July.
    3. Natale Arcuri & Manuela De Ruggiero & Francesca Salvo & Raffaele Zinno, 2020. "Automated Valuation Methods through the Cost Approach in a BIM and GIS Integration Framework for Smart City Appraisals," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    4. Halik Łukasz, 2019. "Analysis of County Geoportals in Terms of Opportunities to Purchase Data of the Register of Real Estate Prices and Values Online," Real Estate Management and Valuation, Sciendo, vol. 27(1), pages 69-78, March.
    5. Francois Des Rosiers & Marius Thériault & Paul-Y Villeneuve & Yan Kestens, 2001. "Isolating Spatial from A-spatial Components of Housing Attributes Using Kriging Techniques," ERES eres2001_149, European Real Estate Society (ERES).
    6. Winky K O Ho, 2005. "Modeling the Dynamics of the Hong Kong Office Market under Economic Structural Change," Environment and Planning B, , vol. 32(1), pages 111-125, February.
    7. Mike Wrigley, 2001. "Transport Policy and Property Values," ERES eres2001_300, European Real Estate Society (ERES).
    8. 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.

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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