Effects of Scale in Spatial Interaction Models

Giuseppe Arbia () and Francesca Petrarca
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Francesca Petrarca: Roma Tre University

Chapter Chapter 5 in Spatial Econometric Interaction Modelling, 2016, pp 85-101 from Springer

Abstract: Abstract The MAUP (Modifiable Areal Unit Problem) is a particular form of the more general Modifiable Unit Problem (MUP) that has a long tradition in statistics, see Yule and Kendall (1950), whose spatial manifestation has been treated at length by Openshaw and Taylor (1979); Arbia (1989) among others. The MAUP presents two facets. The first is known as the “scale problem” and refers to the indeterminacy of any statistical measure with respect to changes in the level of data aggregation (e.g. from NUTS-3 to NUTS-2 in the EUROSTAT 2012). The second is referred to as the “aggregation (or zoning) problem” and concerns the indeterminacy of any statistical measure with respect to changes in the aggregation criterion at a given spatial scale (e.g. two alternative partitions of the same area at a given spatial scale). In this paper we explicitly aim to study the effects of scale on non linear spatial interaction models.

Keywords: Gravity models; Modifiable areal unit problem; Spatial autoregressive random fields; Spatial interaction models (search for similar items in EconPapers)
JEL-codes: C21 R19 (search for similar items in EconPapers)
Date: 2016
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Journal Article: Effects of scale in spatial interaction models (2013)
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DOI: 10.1007/978-3-319-30196-9_5

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