Content area

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.

Details

Title
Spatial statistics for urban analysis: A review of techniques with examples
Author
Páez, Antonio; Scott, Darren M
Pages
53-67
Publication year
2004
Publication date
2004
Publisher
Springer Nature B.V.
ISSN
03432521
e-ISSN
15729893
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
223669872
Copyright
Copyright Springer Science & Business Media 2004