Fabien Goge

TL;DR: In this article, the authors compare various strategies to predict soil properties of local samples using a French national database and two regression methods: partial least square (PLS) and a local regression method (fast Fourier transform local weighted [FFT-LW]).

TL;DR: In this article, the authors explored how regional and landscape-scale features influence night frost occurrence in the southern altiplano of Bolivia and compared multiple regression (MR) and boosted regression trees (BRT).

TL;DR: In this paper, the influence of index computation and neighbour selection on calibration results using local PLSR models on a large soil spectral database was investigated and an index based on the coefficient correlation with FFT compression that led to a neighbourhood selection gave the best prediction results for the four considered soil constituents.

TL;DR: This paper investigated the influence of the bias correction method on drought projections in Mediterranean forests in southern France for the end of the twenty-first century (2071-2100) by using a water balance model with two different atmospheric climate forcings built from the same RCM simulations but using two different correction methods (quantile mapping or anomaly method).

TL;DR: Galaxy is used in a new domain, chemometrics, adressed to a new user community, and will be a central platform for a new e-learning module, as a MOOC.