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A Casebook for Spatial Statistical Data Analysis: A Compilation of Different Thematic Data Sets

Author

Listed:
  • Griffith, Daniel A.

    (Syracuse University)

  • Layne, Larry J.

    (Universidad Central de Venezuela)

Abstract

This volume compiles geostatistical and spatial autoregressive data analyses involving georeferenced socioeconomic, natural resources, agricultural, pollution, and epidemiological variables. Benchmark analyses are followed by analyses of readily available data sets, emphasizing parallels between geostatistical and spatial autoregressive findings. Both SAS and SPSS code are presented for implementation purposes. This informative casebook will serve geographers, regional scientists, applied spatial statisticians, and spatial scientists from across disciplines.

Suggested Citation

  • Griffith, Daniel A. & Layne, Larry J., 1999. "A Casebook for Spatial Statistical Data Analysis: A Compilation of Different Thematic Data Sets," OUP Catalogue, Oxford University Press, number 9780195109580.
  • Handle: RePEc:oxp:obooks:9780195109580
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    Cited by:

    1. Marcia Castro, 2007. "Spatial Demography: An Opportunity to Improve Policy Making at Diverse Decision Levels," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 477-509, December.
    2. Hiro Izushi, 2008. "What Does Endogenous Growth Theory Tell about Regional Economies? Empirics of R&D Worker-based Productivity Growth," Regional Studies, Taylor & Francis Journals, vol. 42(7), pages 947-960.

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