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

Haining, Robert P.; Li, Guangquan

Softcover

ISBN 10: 1032175001 ISBN 13: 9781032175003

Verlag: Chapman and Hall/CRC, 2021

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den 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.

Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 1032175001
• ISBN 13: 9781032175003
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 640
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar