Deriving Spatial Metropolitan Wide Patterns of Quality of Life Dimensions From Survey Data: the Case of the Brisbane-South East Queensland Region in Australia
Robert Stimson (),
Prem Chhetri () and
John Western ()
ERSA conference papers from European Regional Science Association
Abstract:
Quality of life studies typically focus either on aggregate measures of QOL variables using secondary data sources for aggregated spatial units or on primary data collected through sample surveys whereby individuals provide subjective assessments of QOL dimensions. This paper uses sample survey data collected in a 2003 survey of QOL using a spatially stratified sample design across the Brisbane-South East Queensland (SEQ) region, Australia's fastest growing metropolitan region in the 'sun belt'. Multi-variate statistical modelling and GIS-based spatial modelling techniques are used to derive summary masures of QOL dimensions from the survey data and to then produce estimated spatial patterns of QOL dimensions across the residential neighbourhoods comprising the SEQ region.
Date: 2006-08
New Economics Papers: this item is included in nep-geo
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www-sre.wu.ac.at/ersa/ersaconfs/ersa06/papers/42.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa06p42
Access Statistics for this paper
More papers in ERSA conference papers from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().