Hardcover. 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. 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 item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Bibliographic Details

Title: A Casebook for Spatial Statistical Data Analysis (Hardcover)
Publisher: Oxford University Press Inc, New York
Publication Date: 1999
Language: English
ISBN 10: 0195109589
ISBN 13: 9780195109580
Binding: Hardcover
Condition: new

About this title

Synopsis

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.

About the Author

Daniel A. Griffith is at Syracuse University.

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