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Point process models for household distributions within small areal units

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Author Info

  • Zack W. Almquist

    (University of Minnesota)

  • Carter T. Butts

    (University of California, Irvine)

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    Abstract

    Spatio-demographic data sets are increasingly available worldwide, permitting ever more realistic modeling and analysis of social processes ranging from mobility to disease transmission. The information provided by these data sets is typically aggregated by areal unit, for reasons of both privacy and administrative cost. Unfortunately, such aggregation does not permit fine-grained assessment of geography at the level of individual households. In this paper, we propose to partially address this problem via the development of point process models that can be used to effectively simulate the location of individual households within small areal units.

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    File URL: http://www.demographic-research.org/volumes/vol26/22/26-22.pdf
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    Bibliographic Info

    Article provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.

    Volume (Year): 26 (2012)
    Issue (Month): 22 (June)
    Pages: 593-632

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    Handle: RePEc:dem:demres:v:26:y:2012:i:22

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    Web page: http://www.demogr.mpg.de/

    Related research

    Keywords: areal units; household distribution; point processes; simulation; spatial demography;

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    References

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    1. Christophe Z. Guilmoto & S. Irudaya Rajan, 2001. "Spatial Patterns of Fertility Transition in Indian Districts," Population and Development Review, The Population Council, Inc., The Population Council, Inc., vol. 27(4), pages 713-738.
    2. Davis, Harry L, 1976. " Decision Making within the Household," Journal of Consumer Research, University of Chicago Press, University of Chicago Press, vol. 2(4), pages 241-60, March.
    3. Adrian Baddeley & Rolf Turner, . "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, American Statistical Association, American Statistical Association, vol. 12(i06).
    4. Gibson, Clark C. & Ostrom, Elinor & Ahn, T. K., 2000. "The concept of scale and the human dimensions of global change: a survey," Ecological Economics, Elsevier, Elsevier, vol. 32(2), pages 217-239, February.
    5. Zack W. Almquist, . "US Census Spatial and Demographic Data in R: The UScensus2000 Suite of Packages," Journal of Statistical Software, American Statistical Association, American Statistical Association, vol. 37(i06).
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    Cited by:
    1. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312, February.

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