Towards a generic theoretical framework for pattern-based LUCC modeling: Allocation revisited: Formal foundations and bias identification - STEEP Access content directly
Journal Articles Environmental Modelling and Software Year : 2023

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

Abstract

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.
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Dates and versions

hal-04301075 , version 1 (22-11-2023)

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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⟩
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