Publications

Bayesian spatially varying coefficients modeling

Published in Spatial Statistics, 2025

Efficient bayesian spatially varying coefficients modeling for censored data using the vecchia approximation

Recommended citation: Idir Mohamed Yacine, Romary Thomas. Efficient bayesian spatially varying coefficients modeling for censored data using the vecchia approximation. Spatial Statistics. Submitted

Sensitivity Analysis

Published in Ecological Informatics, 2025

Importance ranking of data and model uncertainties in quantile regression forest-based spatial predictions when data are sparse, imprecise and clustered

Recommended citation: Rohmer, J. (2025). Importance ranking of data and model uncertainties in quantile regression forest-based spatial predictions when data are sparse, imprecise and clustered. Ecological Informatics. doi:10.1016/j.ecoinf.2025.103459 https://www.sciencedirect.com/science/article/pii/S1574954125004686

Geospatial Uncertainties with Intervals

Published in Lecture Notes in Networks and Systems, 2024

Recommended citation: Labourg, P., Destercke, S., Guillaume, R., Rohmer, J., Quost, B., Belbèze, S. (2024). Geospatial Uncertainties: A Focus on Intervals and Spatial Models Based on Inverse Distance Weighting. In: Lesot, MJ., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2024. Lecture Notes in Networks and Systems, vol 1174. Springer, Cham. https://doi.org/10.1007/978-3-031-74003-9_30 https://doi.org/10.1007/978-3-031-74003-9_30

group-SHAP uncertainty

Published in SOIL, 2024

Insights into the prediction uncertainty of machine-learning-based digital soil mapping through a local attribution approach

Recommended citation: Rohmer, J., Belbeze, S., and Guyonnet, D.: Insights into the prediction uncertainty of machine-learning-based digital soil mapping through a local attribution approach, SOIL, 10, 679–697, https://doi.org/10.5194/soil-10-679-2024, 2024. https://soil.copernicus.org/articles/10/679/2024/

Literature review

Published in Journal of Geochemical Exploration, 2023

A literature review of methods used to establish urban soil geochemical background

Recommended citation: Belbèze, S., Rohmer, J., Négrel, P., Guyonnet, D. (2023). Defining urban soil geochemical backgrounds: A review for application to the French context; Journal of Geochemical Exploration. 254, 107298. https://www.sciencedirect.com/science/article/abs/pii/S0375674223001450