Quotation Fischer, Manfred M., Griffith, Daniel A.. 2008. Modelling spatial autocorrelation in spatial interaction data. Journal of Regional Science 48 (5): 969-989.


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Abstract

Spatial interaction models of the gravity type are widely used to model origin-destination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterize an origin region of a flow, variables that characterize a destination region of a flow, and finally variables that measure the separation between origin and destination regions. This paper outlines and compares two approaches, the spatial econometric and the eigenfunction-based spatial filtering approach, to deal with the issue of spatial autocorrelation among flow residuals. An example using patent citation data that capture knowledge flows across 112 European regions serves to illustrate the application and the comparison of the two approaches.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Regional Science
Citation Index SSCI
WU Journalrating 2009 A
WU-Journal-Rating new VW-C, WH-B
Language English
Title Modelling spatial autocorrelation in spatial interaction data
Volume 48
Number 5
Year 2008
Page from 969
Page to 989
Reviewed? Y
URL http://ssrn.com/abstract=1102183

Associations

People
Fischer, Manfred M. (Details)
External
Griffith, Daniel A. (The University of Texas at Dallas)
Organization
Research Institute for Supply Chain Management FI (Details)
Institute for Economic Geography and GIScience IN (Details)
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