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

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.

• | Author: Robert P Haining, Taylor & Francis Group, Guangquan Li
• | Publisher: Chapman & Hall
• | Publication Date: Sep 30, 2021
• | Number of Pages: 640 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1032175001
• | ISBN-13: 9781032175003