Effects of scale in spatial interaction models

Giuseppe Arbia () and Francesca Petrarca

Journal of Geographical Systems, 2013, vol. 15, issue 3, 249-264

Abstract: We study the effects of aggregation on four different cases of nonlinear spatial gravity models. We present some theoretical results on the relationship between the mean flows at an aggregated level and the mean flow at the disaggregated level. We then focus on the case of perfect aggregation (scale problem) showing some results based on the theoretical expressions previously derived and on some artificial data. The main aim is to test the effects on the aggregated flows of the spatial dependence observed in the origin and in the destination variables. We show that positive spatial dependence in the origin and destination variables moderate the increase of the mean flows connatural with aggregation while negative spatial dependence exacerbates it. Copyright Springer-Verlag Berlin Heidelberg 2013

Keywords: Spatial interaction models; Gravity models; Spatial autoregressive random fields; Modifiable areal unit problem; C21; R19 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (4)

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Chapter: Effects of Scale in Spatial Interaction Models (2016)
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DOI: 10.1007/s10109-013-0180-9

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