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Spatial statistics for urban analysis: A review of techniques with examples

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Abstract

Traditionally, urban analysis has been quick to adopt and benefit from developments in technology (e.g., microcomputer, GIS) and techniques (e.g., statistics, mathematical programming). This has not been the case, however, with newer methods of spatial analysis — in particular, spatial statistics. Only recently has this situation started to change. This paper documents the confluence of spatial statistics and urban analysis by first reviewing developments in spatial statistics, and then presenting examples of recent applications in urban analysis. The developments reviewed fall under the rubric of global and local forms of spatial analysis, and cover three major technical issues: spatial association, spatial heterogeneity and the modifiable areal unit problem. The examples highlight the relevance and usefulness of the techniques reviewed for urban transportation and land-use applications. The paper concludes with conjectures concerning future developments at the intersection of spatial statistics and urban analysis.

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  1. Centre for Spatial Analysis, School of Geography and Geology, McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, Ontario, Canada

    Antonio Páez & Darren M. Scott

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Páez, A., Scott, D.M. Spatial statistics for urban analysis: A review of techniques with examples. GeoJournal 61, 53–67 (2004). https://doi.org/10.1007/s10708-005-0877-5

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