Spatial Autocorrelation in Spatial Interactions Models: Geographic Scale and Resolution Implications for Network Resilience and Vulnerability

Daniel Griffith () and Yongwan Chun ()

Networks and Spatial Economics, 2015, vol. 15, issue 2, 337-365

Abstract: This paper addresses the theme of spatial autocorrelation impacting spatial equilibria, and hence an understanding of economic network resilience and vulnerability. It exploits the notion that spatial autocorrelation in the geographic distribution of origin and destination attributes and network autocorrelation in the flows between origins and destinations constitute two spatial autocorrelation components contained in spatial interaction data. It illustrates that a spatial interaction model specification needs to incorporate both components in order to furnish sound implications about associated economic network resilience and vulnerability. Such models also need to undergo sensitivity analyses in terms of changes in geographic scale and resolution. And, it furnishes a novel 3-D visualization of geographic flows, such as journey-to-work trips, in order to achieve a better comprehension of economic network resilience and vulnerability. Copyright Springer Science+Business Media New York 2015

Keywords: Geographic resolution; Geographic scale; Network autocorrelation; Spatial interaction; Spatial autocorrelation (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s11067-014-9256-4

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