Full Product Details
Author: Robert P. Haining ,
Guangquan Li
Publisher: Taylor & Francis Inc
Imprint: Chapman & Hall/CRC
Weight: 3.320kg
ISBN: 9781482237429
ISBN 10: 1482237423
Pages: 640
Publication Date: 07 February 2020
Audience:
Professional and scholarly
,
College/higher education
,
Professional & Vocational
,
Tertiary & Higher Education
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
Knowledge on statistical theory and regression concepts are essential to read, comprehend, appreciate, and use the rich contents of this fascinating book. This well-written book is a good source for the Bayesian concepts and methods to practice the spatial-temporal analysis using R and WinBugs codes . . . I recommend this book to economics, health, statistics and computing professionals and researchers. ~ Ramalingam Shanmugam, Texas State University
Knowledge on statistical theory and regression concepts are essential to read, comprehend, appreciate, and use the rich contents of this fascinating book. This well-written book is a good source for the Bayesian concepts and methods to practice the spatial-temporal analysis using R and WinBugs codes . . . I recommend this book to economics, health, statistics and computing professionals and researchers. -Ramalingam Shanmugam, Texas State University Overall, this book stands out among other spatial statistics books because of its ability to help readers develop practical modeling skills. Specifically, R code snippets are provided when specific R packages or functions are needed to handle geospatial data sets. The impressive number of case studies provide real-world guidance on how to adapt the same modeling strategies, with the accompanyingWinBUGS code, to other data sets. ... In summary, this book is an excellent resource for graduate students, statisticians, and quantitative researchers who are interested in analyzing areal spatial data. The inclusion of both spatial hierarchical models and econometrics models is particularly unique. Finally, the book's organization, contents, and writing style also encourage self-learning. -Howard H. Chang in Biometrics, March 2022 Knowledge on statistical theory and regression concepts are essential to read, comprehend, appreciate, and use the rich contents of this fascinating book. This well-written book is a good source for the Bayesian concepts and methods to practice the spatial-temporal analysis using R and WinBugs codes . . . I recommend this book to economics, health, statistics and computing professionals and researchers. ~ Ramalingam Shanmugam, Texas State University All statements in the book are clear and fully understandable for the reader. A large number of examples are accompanied by detailed explanations and R-codes. The book is a very good guide for researchers in the field of spatial and spatial-temporal data modelling for both beginners and professionals - Taras Lukashiv, International Society for Clinical Biostatistics, June 2021, Number 71
Author Information
Robert Haining is Emeritus Professor in Human Geography, University of Cambridge, England. He is the author of Spatial Data Analysis in the Social and Environmental Sciences (1990) and Spatial Data Analysis: Theory and Practice (2003). He is a Fellow of the RGS-IBG and of the Academy of Social Sciences. Guangquan Li is Senior Lecturer in Statistics in the Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle, England. His research includes the development and application of Bayesian methods in the social and health sciences. He is a Fellow of the Royal Statistical Society.
