Job offer : PhD Thesis (2023-2026)
Uncertainties and imprecision in Spatial Interpolations for Urban Risk Mapping
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Uncertainties and imprecision in Spatial Interpolations for Urban Risk Mapping
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Overview of representative challenges for spatial interpolation
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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
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/
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Introduction to ANR-HOUSES presented at the ANR H-16 “Interface between Mathematics, Environmental and Earth sciences” axis virtual meeting. Download presentation here
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Introduction to problems related to explicability of Machine learning models for Geoscience processes presented at the GDR MADICS. Download presentation here
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Presentation on the benefits of transfer learning to overcome the limits of clustered data presented at the journees de la Geostatistique. See presentation here. Download abstract here.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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