Hierarchical Modeling and Analysis for Spatial Data, Third Edition is the latest edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data. The text presents a comprehensive and up-to-date treatment of hierarchical and multilevel modeling for spatial and spatio-temporal data within a Bayesian framework. Over the past decade since the second edition, spatial statistics has evolved significantly driven by an explosion in data availability and advances in Bayesian ...
Read More
Hierarchical Modeling and Analysis for Spatial Data, Third Edition is the latest edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data. The text presents a comprehensive and up-to-date treatment of hierarchical and multilevel modeling for spatial and spatio-temporal data within a Bayesian framework. Over the past decade since the second edition, spatial statistics has evolved significantly driven by an explosion in data availability and advances in Bayesian computation. This edition reflects those changes, introducing new methods, expanded applications, and enhanced computational resources to support researchers and practitioners across disciplines, including environmental science, ecology, and public health. Key features of the third edition: A dedicated chapter on state-of-the-art Bayesian modeling of large spatial and spatio-temporal datasets Two new chapters on spatial point pattern analysis, covering both foundational and Bayesian perspectives A new chapter on spatial data fusion, integrating diverse spatial data sources from different probabilistic mechanisms An accessible introduction to GPS mapping, geodesic distances, and mathematical cartography An expanded special topics chapter, including spatial challenges with finite population modeling and spatial directional data A thoroughly revised chapter on Bayesian inference, featuring an updated review of modern computational techniques A dedicated GitHub repository providing R programs and solutions to selected exercises, ensuring continued access to evolving software developments With refreshed content throughout, this edition serves as an essential reference for statisticians, data scientists, and researchers working with spatial data. Graduate students and professionals seeking a deep understanding of Bayesian spatial modeling will find this volume an invaluable resource for both theory and practice.
Read Less
Add this copy of Hierarchical Modeling and Analysis for Spatial Data to cart. $141.92, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by CRC Press.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Sewn binding. Cloth over boards. 679 p. Contains: Unspecified, Illustrations, color, Line drawings, color, Tables, black & white. Chapman & Hall/CRC Monographs on Statistics and Applied Prob. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Hierarchical Modeling and Analysis for Spatial Data to cart. $141.93, new condition, Sold by Just one more Chapter rated 4.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2025 by Chapman and Hall/CRC.
Add this copy of Hierarchical Modeling and Analysis for Spatial Data to cart. $152.08, new condition, Sold by Booksplease rated 4.0 out of 5 stars, ships from Southport, MERSEYSIDE, UNITED KINGDOM, published 2025 by CRC Press.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Sewn binding. Cloth over boards. 679 p. Contains: Unspecified, Illustrations, color, Line drawings, color, Tables, black & white. Chapman & Hall/CRC Monographs on Statistics and Applied Prob.
