A Casebook for Spatial Statistical Data Analysis - A Compilation of Different Thematic Data Sets (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.

General

Imprint:	Oxford UniversityPress
Country of origin:	United States
Series:	Spatial Information Systems
Release date:	2002
First published:	December 1999
Authors:	Daniel A. Griffith (Professor in the Department of Geography and Interdisciplinary Statistics Program) • Larry J. Layne (Assistant Professor, Instituto de Geografia y Desarrollo Regional)
Dimensions:	242 x 162 x 30mm (L x W x T)
Format:	Hardcover
Pages:	524
ISBN-13:	978-0-19-510958-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Earth & environment > Geography > General Books > Science & Mathematics > Mathematics > Mathematical foundations > Set theory Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	0-19-510958-9
Barcode:	9780195109580

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