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.

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Bibliographic Details

Title: A Casebook for Spatial Statistical Data Analysis
Publisher: Oxford University Press Inc, US
Publication Date: 1999
Language: English
ISBN 10: 0195109589
ISBN 13: 9780195109580
Binding: Hardback
Condition: New
Weight: 943 grams

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Daniel A. Griffith is at Syracuse University.

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