Modelling Spatial and Spatial Temporal Data A Bayesian Approach is popular PDF and ePub book, written by Robert P. Haining in 2020-01-27, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Modelling Spatial and Spatial Temporal Data A Bayesian Approach can be Read Online from any device for your convenience.
Modelling Spatial and Spatial Temporal Data A Bayesian Approach Book PDF Summary
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges.
Detail Book of Modelling Spatial and Spatial Temporal Data A Bayesian Approach PDF
- Author : Robert P. Haining
- Release : 27 January 2020
- Publisher : CRC Press
- ISBN : 9781482237436
- Genre : Mathematics
- Total Page : 641 pages
- Language : English
- PDF File Size : 11,8 Mb
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