Modelling spatial and spatial-temporal data : a Bayesian approach
著者
書誌事項
Modelling spatial and spatial-temporal data : a Bayesian approach
（Statistics in the social and behavioral sciences series）
CRC Press, c2020
- : hardback
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注記
"A Chapman & Hall book"
Includes bibliographical references (p. 577-596) and index
内容説明・目次
内容説明
Offers a practical introduction to regression modeling with spatial and spatial-temporal data relevant to research and teaching in the social and economic sciences
Focuses on a few key datasets and data analysis using the open source software WinBUGS, R, and GeoDa
Provides data and programming codes to allow users to undertake their own analyses
Ends each chapter with a set of short exercises and questions for further study
目次
Introduction. Thinking spatially, thinking statistically in the social and economic sciences. The nature of spatial data and the implications for statistical analysis. Exploratory analysis of spatial and spatial-temporal data. Bayesian regression modeling with spatial data. Introduction to the Bayesian approach to regression modeling with spatial data. Topics in spatial modeling. Further topics in spatial modeling. Bayesian regression modeling with spatial-temporal data. Generic issues in spatial-temporal modeling. Topics in spatial-temporal modeling. Appendices.
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