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A demographic model for small area population projections: an application to the Census Metropolitan Area of Hamilton in Ontario, Canada

机译:小区域人口预测的人口模型:应用于加拿大安大略省汉密尔顿人口普查大都市区

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摘要

This paper reports on the development of a demographic model capable of projecting the spatial distribution of population by age and sex for small areas such as census tracts. The proposed modeling framework makes use of two components: the Rogers multiregional population projection model and the aggregate spatial multinomial logit (ASMNL) model. The Rogers model utilizes cohort vital statistics on fertility, mortality, and migration to project the progression of population by age and sex at the regional level, while the ASMNL model extends the capabilities of the Rogers model enabling it to provide population estimates at a finer spatial scale. The model is applied to the Hamilton Census Metropolitan Area in Canada. Our simulation tests highlight the robustness of the proposed modeling approach in utilizing small area characteristics and regional vital statistics to perform small area population projections.
机译:本文报道了人口统计模型的发展,该模型能够预测人口普查区域等小区域按年龄和性别划分的人口空间分布。所提出的建模框架利用了两个组件:Rogers多区域人口投影模型和集合空间多项式logit(ASMNL)模型。罗杰斯(Rogers)模型利用生育率,死亡率和迁徙的队列生命统计数据来预测区域一级按年龄和性别划分的人口发展,而ASMNL模型扩展了罗杰斯(Rogers)模型的功能,使其能够在更精细的空间内提供人口估计规模。该模型已应用于加拿大的汉密尔顿人口普查大都会地区。我们的模拟测试突出了所提出的建模方法在利用小区域特征和区域生命统计进行小区域人口预测方面的鲁棒性。

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  • 来源
    《Environment and planning》 |2009年第4期|964-979|共16页
  • 作者单位

    Centre for Spatial Analysis, School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario L8S 4K1, Canada;

    Centre for Spatial Analysis, School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario L8S 4K1, Canada;

    Centre for Spatial Analysis, School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario L8S 4K1, Canada;

    Centre for Spatial Analysis, School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario L8S 4K1, Canada;

    Centre for Spatial Analysis, School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario L8S 4K1, Canada;

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