George Christakos

Modern Spatiotemporal Geostatistics (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This scholarly introductory treatment explores the fundamentals of modern geostatistics, viewing them as the product of the advancement of the epistemic status of stochastic data analysis. The book's main focus is the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables, an approach that offers readers a deeper understanding of the role of geostatistics in improved mathematical models of scientific mapping.
Starting with a overview of the uses of spatiotemporal mapping in the natural sciences, the text explores spatiotemporal geometry, the epistemic paradigm, the mathematical formulation of the Bayesian maximum entropy method, and analytical expressions of the posterior operator. Additional topics include uncertainty assessment, single- and multi-point analytical formulations, and popular methods. An innovative contribution to the field of space and time analysis, this volume offers many potential applications in epidemiology, geography, biology, and other fields.

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Produktdetails

• Verlag: Guilford Publications
• Seitenzahl: 304
• Erscheinungstermin: 29. August 2013
• Englisch
• ISBN-13: 9780486310930
• Artikelnr.: 39539056

Autorenporträt

George Christakos is the Birch Distinguished Professor of Geography at San Diego State University. His other Dover book is Random Field Models in Earth Sciences (43872-4).

Inhaltsangabe

Preface 1. Spatiotemporal Mapping in Natural Sciences 2. Spatiotemporal
Geometry 3. Physical knowledgr 4. The Epistemic Paradigm 5. Mathematical
Formulation of the BME Method 6. Analytical Expressions of the Posterior
Operator 7. The Choice of a Spatiotemporal Estimate 8. Uncertainty
Assessment 9. Modifications of Formal BME Analysis 10. Single-Point
Analytical Formulations 11. Multipoint Analytical Formulations 12. Popular
Methods in the Light of Modern Spatiotemporal Geostatistics 13. A Call Not
to Arms but to Research Bibliography Index