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Accounts and models for spatial demographic analysis I: aggregate population


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  • P H Rees
  • A G Wilson
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    This paper presents accounts and models which can be used for spatial demographic analysis. It is shown that in any time period there are sixteen different kinds of demographic flows for a two region system. These flows can be represented in an accounting table. Some of the minor flows, involving double ot triple demographic events such as a birth followed by a migration, cannot be measured directly from data, and an iterative scheme is offered for the calculation of these flows. In this way a complete set of accounts can be built up from existing data. Two principles of model building using this set of accounts are then discussed. The first uses a simple definition of demographic rates, while the second uses a definition of rates which employs a concept of 'at-risk' populations. Procedures are given for calculating these populations. The account building principles are illustrated with a worked example for a three region system: the West Riding of Yorkshire, the rest of England and Wales, and the rest of the world. The results presented in this paper are for aggregate populations. In a subsequent paper equivalent results will be presented for age/sex disaggregated populations.

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    Bibliographic Info

    Article provided by Pion Ltd, London in its journal Environment and Planning.

    Volume (Year): 5 (1973)
    Issue (Month): 1 (January)
    Pages: 61-90

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    Handle: RePEc:pio:envira:v:5:y:1973:i:1:p:61-90

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    Cited by:
    1. repec:ris:cieodp:2013_022 is not listed on IDEAS
    2. Vaz, Eric & Campos, Ana Claudia, 2013. "A Multi-Dasymetric Mapping Approach for Tourism," Journal of Spatial and Organizational Dynamics, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve, vol. 1(4), pages 265-277.
    3. Leo JG Van Wissen & Nicole Gaag & Phil Rees & John Stillwell, 2005. "In search of a modelling strategy for projecting internal migration in European countries - Demographic versus economic-geographical approaches," ERSA conference papers ersa05p787, European Regional Science Association.


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