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Identifying Functional Regions in Australia Using Hierarchical Aggregation Techniques

机译:使用分层汇总技术识别澳大利亚的功能区域

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摘要

This paper continues our work focused on developing a new socio-economic geography for Australia such that the chosen spatial aggregation of data is based on an analysis of economic behaviour. The underlying hypothesis is that the development of a geographical classification based on underlying economic behaviour will provide new insights into critical issues of regional performance, including unemployment differentials, the impact of industry, infrastructure and changes in local public expenditure on local labour markets. As a precursor to detailed work on the 2006 Census of Population and Housing data, we establish the proof of concept in this paper of the Intramax methodology using 2001 Journey-to-Work data from the Australian Bureau of Statistics (ABS) for the state of New South Wales. The functional regionalisation generated by the Intramax method is then tested using ABS labour force data. We compare 2001 ABS Census of Population and Housing data aggregated by the ABS labour force regions to the same data aggregated using our functional regions. The results demonstrate the potential value of this technique for the development of a new geography.
机译:本文继续我们的工作,重点是为澳大利亚开发一种新的社会经济地理环境,以使所选择的数据空间聚集基于对经济行为的分析。基本假设是,根据基本经济行为制定地理分类将提供对区域绩效关键问题的新​​见解,包括失业差异,行业,基础设施的影响以及当地公共支出对当地劳动力市场的变化。作为对2006年人口和住房普查数据进行详细研究的先驱,我们使用澳大利亚统计局(ABS)的2001年“上班路程”数据在本文中建立了Intramax方法论的概念证明。新南威尔士州。然后使用ABS劳动力数据测试Intramax方法生成的功能区域。我们将ABS劳动力地区汇总的2001年ABS人口和住房普查数据与使用我们功能区域汇总的相同数据进行了比较。结果证明了该技术对于新地理学发展的潜在价值。

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