Spatiotemporal Data Analysis
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"Spatiotemporal Data Analysis is based on a lecture course that influenced the thesis work of every graduate student I knew in the department. This is due to the applicability of the material to a broad range of topics, and to Eshel's clear and insightful presentation."--David Archer, University of Chicago "A perfect and much-needed book for students and professionals tackling the complexities of data analysis in space and time. In my twenty-five years teaching in the environmental sciences, I've not encountered such a comprehensive and well-structured book that eloquently lays out the mathema...
"Spatiotemporal Data Analysis is based on a lecture course that influenced the thesis work of every graduate student I knew in the department. This is due to the applicability of the material to a broad range of topics, and to Eshel's clear and insightful presentation."--David Archer, University of Chicago "A perfect and much-needed book for students and professionals tackling the complexities of data analysis in space and time. In my twenty-five years teaching in the environmental sciences, I've not encountered such a comprehensive and well-structured book that eloquently lays out the mathematical basis and data-analysis tools required to understand real-world environmental data structures with practical examples, applications, and problem assignments."--Alfredo Huete, University of Technology Sydney, Australia "Spatiotemporal Data Analysis is accessible and applicable without sacrificing rigor. The key is a steady stream of well-chosen examples and, most unusual in any textbook, a distinctive narrative voice that guides readers through the material, explaining the details while making sure the big picture is always in view. It will become an essential text for earth scientists and many others who analyze spatiotemporal data."--Mark Cane, Columbia University "This book offers an excellent survey of the mathematical aspects of spatiotemporal data analysis and will be useful to geoscientists in such applications as collecting, archiving, and interpreting satellite data. While treating some rather abstract matters, Eshel does not drown the reader in overly opaque notation but instead derives results and illustrates them with interesting examples, both numerical and conceptual." --Gerald R. North, Texas A&M University
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