Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages
Metadatos
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Elsevier
Materia
Uncertainty LUCC modeling CA_Markov Dinamica EGO Land change modeler Metronamica
Fecha
2022-05-17Referencia bibliográfica
David García-Álvarez... [et al.]. Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages, Environmental Modelling & Software, Volume 153, 2022, 105411, ISSN 1364-8152, [https://doi.org/10.1016/j.envsoft.2022.105411]
Patrocinador
Spanish Government; European Commission INCERTIMAPS PGC2018-100770-B-100; Spanish Ministry of Economy and Competitiveness and the European Social Fund [Ayudas para contratos predoctorales para la formacion de doctores 2014]; University of Granada [Contratos Puente 2018]; Spanish Ministry of Science and Innovation [Ayudas para contratos Juan de la Cierva-for-macion] 2019-FJC2019-040043; University of Cape Town (Centre for Transport Studies)Resumen
Research on the uncertainty of Land Use Cover Change (LUCC) models is still limited. Through this paper, we aim
to globally characterize the structural uncertainty of four common software packages (CA_Markov, Dinamica
EGO, Land Change Modeler, Metronamica) and analyse the options that they offer for uncertainty management.
The models have been compared qualitatively, based on their structures and tools, and quantitatively, through a
study case for the city of Cape Town. Results proved how each model conceptualised the modelled system in a
different way, which led to different outputs. Statistical or automatic approaches did not provide higher
repeatability or validation scores than user-driven approaches. The available options for uncertainty management
vary depending on the model. Communication of uncertainties is poor across all models.