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Assessing Different Spatial Grouping Algorithms: An Application to the Design of Australia's New Statistical Geography

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  • Martin Watts

Abstract

Algorithms have been used to assist in the design of statistical geographies which define areal groupings for which official data are collected. Typically the groupings based on different parameter values or different algorithms are not formally compared, but summary statistics based on each solution can be constructed, some of which are based on fuzzy set principles. These principles can also be used to make incremental adjustments to solutions, based on different criteria. In this paper, we adopt the above methodology to compare the new statistical geography for New South Wales developed by the Australian Bureau of Statistics with that generated by an amended version of the Coombes algorithm.

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  • Martin Watts, 2013. "Assessing Different Spatial Grouping Algorithms: An Application to the Design of Australia's New Statistical Geography," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 92-112, March.
    • Handle: RePEc:taf:specan:v:8:y:2013:i:1:p:92-112
    DOI: 10.1080/17421772.2012.753637
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    References listed on IDEAS

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    1. Mike Coombes & José M. Casado-Díaz, 2005. "The evolution of Local Labour Market Areas in contrasting region," ERSA conference papers ersa05p303, European Regional Science Association.
    2. Papps, Kerry L. & Newell, James O., 2002. "Identifying Functional Labour Market Areas in New Zealand: A Reconnaissance Study Using Travel-to-Work Data," IZA Discussion Papers 443, Institute of Labor Economics (IZA).
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    Cited by:

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    2. Jordy Meekes, 2022. "Agglomeration Economies and the Urban Wage Premium in Australia," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 25(1), pages 25-54.
    3. Martin Watts, 2013. "Commentary," Environment and Planning A, , vol. 45(7), pages 1528-1535, July.
    4. Drobne Samo, 2021. "Differences in Slovenian NUTS 3 Regions and Functional Regions by Gender," Business Systems Research, Sciendo, vol. 12(1), pages 45-59, May.
    5. Drobne Samo & Garre Alberto & Hontoria Eloy & Konjar Miha, 2020. "Comparison of Two Network-Theory-Based Methods for detecting Functional Regions," Business Systems Research, Sciendo, vol. 11(2), pages 21-35, October.
    6. Drobne Samo & Lakner Mitja, 2016. "Use of Constraints in the Hierarchical Aggregation Procedure Intramax," Business Systems Research, Sciendo, vol. 7(2), pages 5-22, September.

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