Using Geographic Information Systems to Improve Real Estate Analysis
Mauricio Rodriguez (),
C.F. Sirmans () and
Allen P. Marks Additional contact information C.F. Sirmans: Department of Finance University of Connecticut 368 Fairfield Road Storrs, Connecticut 06269-2041, http://www.sba.uconn.edu/index.htm Allen P. Marks: Spatial Decisions & Analysis 444 N. Frederick Ave., Suite L Box 323 Gaithersburg, Maryland 20877, http://www.unlv.edu/Colleges/Business/Finance/
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.
Ordering information: This journal article can be ordered from Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323 http://aux.zicklin.b ... u/jrer/about/get.htm
Journal of Real Estate Research is edited by Dr. Ko Wang
More articles in Journal of Real Estate Research from American Real Estate Society Address: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323 Series data maintained by JRER Graduate Assistant/Webmaster ().
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