Scholarly introductory treatment explores the role of modern geostatistics in improved mathematical models of scientific mapping, focusing on the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables. 2000 edition.
Scholarly introductory treatment explores the role of modern geostatistics in improved mathematical models of scientific mapping, focusing on the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables. 2000 edition.
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
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
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