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Spatial & Spatio-Temporal Data Modelling: A Bayesian Approach, 1st Edition by Robert Haining & Guangquan Li | Latest 2025/2026 Study Guide to Pass Exams First Try
Unlock the complexities of geographic and time-series data with this definitive guide, 'Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach'. Authored by experts Robert Haining and Guangquan Li, this resource, updated for the 2025/2026 academic year, offers a comprehensive introduction to powerful Bayesian methods. Perfect for students in social and behavioral sciences, this guide breaks down complex statistical concepts into manageable lessons, ensuring you have the knowledge to excel in your exams. Master the material, avoid resits, and pass on your first attempt with this essential academic tool.
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