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