Robert P. Haining, Guangquan Li

Modelling Spatial and Spatial-Temporal Data

A Bayesian Approach

• Gebundenes Buch

Produktbeschreibung

This book shows how to analyze spatial and spatial-temporal data. It focuses on key datasets and data analysis, using the open source software WinBUGS, R, and GeoDa. It examines a range of different spatial and spatial-temporal data modeling situations encountered in the social and economic sciences.

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Produktdetails

• Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
• Verlag: Taylor & Francis Inc
• Seitenzahl: 640
• Erscheinungstermin: 7. Februar 2020
• Englisch
• Abmessung: 259mm x 179mm x 36mm
• Gewicht: 1420g
• ISBN-13: 9781482237429
• ISBN-10: 1482237423
• Artikelnr.: 58659748

Autorenporträt

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.

Inhaltsangabe

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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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.

Rezensionen

"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