A Casebook for Spatial Statistical Data Analysis: A Compilation of Different Thematic Data Sets
Daniel A. Griffith and
Larry J. Layne
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Daniel A. Griffith: Syracuse University
Larry J. Layne: Universidad Central de Venezuela
in OUP Catalogue from Oxford University Press
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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