Laura Serra, Pablo Juan, Diego Varga

Spatial prediction and mapping temperature

Classical kriging and INLA

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 52
• Erscheinungstermin: 11. Mai 2017
• Englisch
• Abmessung: 220mm x 150mm x 4mm
• Gewicht: 96g
• ISBN-13: 9783330075719
• ISBN-10: 3330075716
• Artikelnr.: 48262213

Autorenporträt

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.