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Forecasting with Spatial Dependencies

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Cohort Change Ratios and their Applications

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Abstract

With the explosion of computerized mapping and spatial modeling techniques over the last 30 years, there has been increased interest in developing small-area demographic estimation and forecasting models that incorporate spatial dependencies among geographic units. In this chapter, we illustrate small-area Hamilton-Perry (H-P) demographic forecasts that explicitly incorporate spatial dependencies. We also discuss some of the challenges and opportunities using spatial modeling in demographic forecasting.

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Authors and Affiliations

  1. Health Fitness Corporation, Lake Forest, IL, USA

    Jack Baker

  2. University of California Riverside, Riverside, CA, USA

    David A. Swanson

  3. University of California San Diego, San Diego, CA, USA

    Jeff Tayman

  4. Western Washington University, Bellingham, WA, USA

    Lucky M. Tedrow

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  1. Jack Baker
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  2. David A. Swanson
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  3. Jeff Tayman
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  4. Lucky M. Tedrow
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Baker, J., Swanson, D.A., Tayman, J., Tedrow, L.M. (2017). Forecasting with Spatial Dependencies. In: Cohort Change Ratios and their Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-53745-0_14

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  • DOI: https://doi.org/10.1007/978-3-319-53745-0_14

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