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.
General
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