Spatial prediction and mapping temperature

Spatial prediction and mapping temperature

Classical kriging and INLA

Versandfertig in 6-10 Tagen
16,99 €
inkl. MwSt.
PAYBACK Punkte
8 °P sammeln!
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).