Towards a generic theoretical framework for pattern-based LUCC modeling: Allocation revisited: Formal foundations and bias identification

François-Rémi Mazy (1) , Pierre-Yves Longaretti (2, 1)

1 STEEP - Sustainability transition, environment, economy and local policy
2 IPAG Business School - Chaire IPAG "Entreprise Inclusive"

An allocation bias criterion is formulated from a necessary self-consistency requirement. • Error-and bias-free algorithms are required to remove mathematical and algorithmic inconsistencies. • All tested pattern-based LUCC models are formally incorrect and biased to varying levels, but Dinamica EGO is close to be error-and bias-free. • A comprehensive Land Use [and cover] Model (CLUMPY) based on error-and bias-free allocation algorithms has been developed and is freely available. • For algorithmic testing and validation-instead of spatial location validation-comparison and validation must be performed in explanatory variable space, not on maps.

Domaines: Sciences de l'environnement

François-Rémi Mazy, Pierre-Yves Longaretti. Towards a generic theoretical framework for pattern-based LUCC modeling: Allocation revisited: Formal foundations and bias identification. Environmental Modelling and Software, 2023, 166, pp.105706. ⟨10.1016/j.envsoft.2023.105706⟩. ⟨hal-04301075⟩