Modeling Space and Time
Reeves, Jonathan M.
Sold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
New - Soft cover
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Add to basketSold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9798265229045
Modeling Space and Time: Spatio-Temporal Methods for Epidemics and Climate Forecasting
How do we understand patterns that unfold across both space and time?
This comprehensive guide introduces the theory and practice of spatio-temporal modeling, offering readers the tools to analyze data that changes not only when events happen but also where they occur. With clear explanations and real-world applications, the book brings together methods from statistics, machine learning, and applied sciences.
Starting with foundational concepts in spatial statistics and time series analysis, the text moves step by step into advanced models such as Gaussian processes, hierarchical frameworks, and Bayesian approaches. Modern machine learning techniques are also explored, showing how neural networks and ensemble methods can enhance forecasting in complex systems.
Applications are given special attention. Readers will find detailed chapters on epidemic modeling, including both traditional compartmental frameworks and their spatial extensions, as well as in-depth treatment of climate science, from data sources and trend detection to forecasting with coupled ocean-atmosphere models.
By combining rigorous methods with accessible case studies, this book provides both the theoretical grounding and practical insight needed to approach spatio-temporal problems with confidence.This book is an essential resource for graduate students, researchers, and professionals in data science, epidemiology, environmental studies, and applied statistics who want to understand and forecast the dynamics of space and time.
Inside you will learn:
Core methods in spatial statistics and time series analysis
How to integrate space and time using covariance structures and stochastic processes
Advanced modeling strategies including hierarchical and Bayesian techniques
Machine learning approaches for large and complex data
Applications in epidemiology, including epidemic forecasting and spatial disease spread
Applications in climate science, including trend detection and forecasting models
Key challenges such as big data scalability, uncertainty quantification, and ethical considerations
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