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Synopsis
Temperature, one of the most important atmospheric variables, has a direct impact on physical and biological processes and its analysis in space and time play a crucial role in studying climate change. Here the results of a comparison between two ways of estimating models of spatial dependence are evaluated: kriging methods and Bayesian inference using the Integrated Nested Laplace Approximation (INLA).
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About the Author
Laura Serra Saurina degree in Mathematics and Master in Mathematics for Financial Instruments from the Universitat Autònoma de Barcelona (UAB) and holds a PhD in Statistics from the University of Girona (UdG). She is currently a researcher at the Center for Health Research (CISAL) and professor of epidemiology and biostatistics methods at the UPF.
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Spatial prediction and mapping temperature
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LAP LAMBERT Academic Publishing Mai 2017, 2017
ISBN 10: 3330075716
ISBN 13: 9783330075719
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Temperature, one of the most important atmospheric variables, has a direct impact on physical and biological processes and its analysis in space and time play a crucial role in studying climate change. Here the results of a comparison between two ways of estimating models of spatial dependence are evaluated: kriging methods and Bayesian inference using the Integrated Nested Laplace Approximation (INLA). 52 pp. Englisch. Seller Inventory # 9783330075719
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Spatial prediction and mapping temperature: Classical kriging and INLA
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ISBN 10: 3330075716
ISBN 13: 9783330075719
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Spatial prediction and mapping temperature : Classical kriging and INLA
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ISBN 10: 3330075716
ISBN 13: 9783330075719
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Temperature, one of the most important atmospheric variables, has a direct impact on physical and biological processes and its analysis in space and time play a crucial role in studying climate change. Here the results of a comparison between two ways of estimating models of spatial dependence are evaluated: kriging methods and Bayesian inference using the Integrated Nested Laplace Approximation (INLA). Seller Inventory # 9783330075719
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Spatial prediction and mapping temperature
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Spatial prediction and mapping temperature
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Temperature, one of the most important atmospheric variables, has a direct impact on physical and biological processes and its analysis in space and time play a crucial role in studying climate change. Here the results of a comparison between two ways of estimating models of spatial dependence are evaluated: kriging methods and Bayesian inference using the Integrated Nested Laplace Approximation (INLA).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9783330075719
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Spatial prediction and mapping temperature | Classical kriging and INLA
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Taschenbuch. Condition: Neu. Spatial prediction and mapping temperature | Classical kriging and INLA | Laura Serra (u. a.) | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330075719 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 109068268
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