Conceptually correct and algorithmically efficient pruning and allocation procedures in statistical LUCC modelling - Inria - Institut national de recherche en sciences et technologies du numérique
Master Thesis Year : 2019

Conceptually correct and algorithmically efficient pruning and allocation procedures in statistical LUCC modelling

Procédures d'allocation conceptuellement correctes et algorithmiquement efficientes pour les modèles LUCC

François-Rémi Mazy
Sustainability transition, environment, economy and local policy

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Applications [stat.AP] Global Changes Environment and Society
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https://inria.hal.science/hal-02302133

Submitted on : Tuesday, October 1, 2019-10:30:09 AM

Last modification on : Wednesday, November 6, 2024-1:22:02 PM

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hal-02302133 , version 1 (01-10-2019)

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  • HAL Id : hal-02302133 , version 1

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François-Rémi Mazy. Conceptually correct and algorithmically efficient pruning and allocation procedures in statistical LUCC modelling. Applications [stat.AP]. 2019. ⟨hal-02302133⟩

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