Using GIS to Derive Region-Wide Patterns of Quality of Urban Life Dimensions: Illustrated with Data from the Brisbane-SEQ Region

Abstract

The chapter demonstrates how statistical analysis and {GIS} tools are used to derive spatially generalized patterns of subjective assessments of aspects of {QOL} dimensions. Data collected in the 2003 {Brisbane-Southeast} Queensland {(SEQ)} {QOL} survey are used in the analysis. One approach demonstrates the use of an “ordered weighted average” nonlinear aggregation technique to derive generalized patterns of subjective assessments of {QOUL} dimensions across subregions. Another approach demonstrates how patterns of underlying dimensions of attractiveness of neighborhood attributes affecting peoples’ choices in where to live may be simulated and mapped using the “neighborhood operation” function in {GIS.}