A casebook for spatial statistical data analysis : a compilation of analyses of different thematic data sets

著者

書誌事項

A casebook for spatial statistical data analysis : a compilation of analyses of different thematic data sets

Daniel A. Griffith, Larry J. Layne ; with contributions by J.K. Ord and Akio Sone

（Spatial information systems）

Oxford University Press, 1999

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

  • Introduction
  • List of Abbreviations
  • PART I: THEORETICAL BACKGROUND
  • 1. Introduction
  • 2. Important Modeling Assumptions
  • 3. Popular Spatial Autoregressive and Geostatistical Models
  • PART II: GEOREFERENCED DATA SET CASE STUDIES
  • 4. Analysis of Georeferenced Socioeconomic Attribute Variables
  • 5. Analysis of Georeferenced Natural Resources Attribute Variables
  • 6. Analysis of Georeferenced Agricultural Yield Variables
  • 7. Analysis of Georeferenced Pollution Variables
  • 8. Analysis of Georeferenced Epidemiological Variables
  • PART III: VISUALIZING WHAT IS NOT OBSERVED
  • 9. Exploding Georeferenced Data When Maps Have Holes or Gaps: Estimating Missing Data Values and Kriging
  • 10. Concluding Comments
  • Epilogue
  • Bibliography
  • Index

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