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A Casebook for Spatial Statistical Data Analysis - Daniel A. Griffith, Larry J. Layne

A Casebook for Spatial Statistical Data Analysis

A Compilation of Different Thematic Data Sets
Buch | Hardcover
524 Seiten
1999
Oxford University Press Inc (Verlag)
978-0-19-510958-0 (ISBN)
CHF 139,10 inkl. MwSt
Spatial statistics provide ways to analyse spatial data, and this book aims to meet a need for a compilation of data sets. It presents a summary discussion of the theoretical basis of techniques, numerical evidence and a variety of data examples.
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.

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

Erscheint lt. Verlag 1.3.2000
Reihe/Serie Spatial Information Systems
Zusatzinfo numerous line figures
Verlagsort New York
Sprache englisch
Maße 236 x 162 mm
Gewicht 943 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Logik / Mengenlehre
Mathematik / Informatik Mathematik Statistik
Naturwissenschaften Geowissenschaften Geografie / Kartografie
ISBN-10 0-19-510958-9 / 0195109589
ISBN-13 978-0-19-510958-0 / 9780195109580
Zustand Neuware
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