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

Klappentext 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. Zusammenfassung 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.

Product details

• Authors: Daniel A. Griffith, Daniel A. (Professor in the Department o Griffith, Daniel A. (Professor in the Department of Geography and Interdisciplinary Statistics Program Griffith, Daniel A. Layne Griffith, Griffith Daniel A., Larry J. Layne, Larry J. (Assistant Professor Layne
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 01.03.2000
• EAN: 9780195109580
• ISBN: 978-0-19-510958-0
• No. of pages: 524
• Series: Spatial Information Systems; Spatial Information Systems
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Geography, SCIENCE / Earth Sciences / Geography, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, MATHEMATICS / Set Theory, Probability & statistics, Maths for scientists, Maths for engineers, Probability and statistics, Set theory