Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach - A Bayesian Approach

Summary

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.

Product details

• Authors: Robert P. Haining, Robert P. Li Haining, Haining Robert P., Guangquan Li, Li Guangquan
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 07.02.2020
• EAN: 9781482237429
• ISBN: 978-1-4822-3742-9
• No. of pages: 640
• Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
• Subjects: Non-fiction book > Psychology, esoterics, spirituality, anthroposophy > Psychology: general, reference works; Social sciences, law, business > Business > General, dictionaries; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Bayesian Analysis, Economic statistics, Psychological methodology, Probability & statistics, Probability and statistics, Econometrics and economic statistics