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Area-to-point parameter estimation with geographically weighted regression

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  • Daisuke Murakami
  • Morito Tsutsumi

Abstract

The modifiable areal unit problem (MAUP) is a problem by which aggregated units of data influence the results of spatial data analysis. Standard GWR, which ignores aggregation mechanisms, cannot be considered to serve as an efficient countermeasure of MAUP. Accordingly, this study proposes a type of GWR with aggregation mechanisms, termed area-to-point (ATP) GWR herein. ATP GWR, which is closely related to geostatistical approaches, estimates the disaggregate-level local trend parameters by using aggregated variables. We examine the effectiveness of ATP GWR for mitigating MAUP through a simulation study and an empirical study. The simulation study indicates that the method proposed herein is robust to the MAUP when the spatial scales of aggregation are not too global compared with the scale of the underlying spatial variations. The empirical studies demonstrate that the method provides intuitively consistent estimates. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Daisuke Murakami & Morito Tsutsumi, 2015. "Area-to-point parameter estimation with geographically weighted regression," Journal of Geographical Systems, Springer, vol. 17(3), pages 207-225, July.
    • Handle: RePEc:kap:jgeosy:v:17:y:2015:i:3:p:207-225
    DOI: 10.1007/s10109-015-0212-8
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    References listed on IDEAS

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    Cited by:

    1. Alexis Comber & Paul Harris, 2022. "The Importance of Scale and the MAUP for Robust Ecosystem Service Evaluations and Landscape Decisions," Land, MDPI, vol. 11(3), pages 1-17, March.
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    More about this item

    Keywords

    Modifiable areal unit problem; Geographically weighted regression; Change of support problem; Geostatistics; C43; C21; R12;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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