Research Catalog

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

Title
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.
Author
Griffith, Daniel A.
Publication
New York : Oxford University Press, 1999.

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Details

Additional Authors
  • Layne, Larry J.
  • Ord, J. K.
  • Sone, Akio.
Description
xviii, 506 pages : illustrations; 25 cm
Summary
"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."--Jacket.
Series Statement
Spatial information systems.
Uniform Title
Spatial information systems
Subject
  • Geography > Statistical methods
  • Spatial analysis (Statistics)
  • spatial analysis
  • Geography > Statistical methods
  • Datenanalyse
  • Geowissenschaften
  • Statistik
  • Räumliche Statistik
  • Räumliche Verteilung
  • GEOGRAPHY
  • STATISTICAL ANALYSIS
  • SPATIAL DISTRIBUTION
  • STATISTICS
  • Géographie (discipline) > Méthodes statistiques
  • Analyse spatiale (statistique)
Bibliography (note)
  • Includes bibliographical references (p. 488-502) and index.
Contents
pt. I. Theoretical Background -- 1. Introduction -- 2. Important Modeling Assumptions -- 3. Popular Spatial Autoregressive and Geostatistical Models -- pt. 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 -- pt. 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.
ISBN
  • 0195109589
  • 9780195109580
LCCN
98053829
OCLC
  • ocm40543795
  • 40543795
  • SCSB-962150
Owning Institutions
Princeton University Library