ANR HOUSES

ANR HOUSES

Research project (funded by ANR) on uncertainty management in geostatistical spatial analysis with applications in Geosciences.
Contact: Jeremy Rohmer (BRGM)

Sensitivity Analysis

Published in Ecological Informatics, 2025

Recommended citation: Rohmer, J. (2025). Importance Ranking of Modelling Choices in Quantile Regression Forest-Based Spatial Predictions When Data are Sparse, Imprecise and Clustered; Ecological Informatics. Submitted https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5095837

Analysis of the importance of the different modellign choices in quantile random forest-based mapping

Download paper here

Recommended citation: Rohmer, J. (2025). Importance Ranking of Modelling Choices in Quantile Regression Forest-Based Spatial Predictions When Data are Sparse, Imprecise and Clustered; Ecological Informatics. Submitted.