Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) - Tapa blanda

Libro 1 de 40: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Haining, Robert P.; Li, Guangquan

 
9781032175003: Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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ISBN 10: 1032175001 ISBN 13: 9781032175003
Editorial: Chapman and Hall/CRC, 2021

Sinopsis

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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Acerca del autor

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.

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Editorial
Chapman and Hall/CRC
Año de publicación
2021
Idioma
Inglés
ISBN 10 
1032175001
ISBN 13 
9781032175003
Encuadernación
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Número de edición
1
Número de páginas
640
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781482237429: Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Edición Destacada

ISBN 10:  1482237423 ISBN 13:  9781482237429
Editorial: Chapman and Hall/CRC, 2020
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