Sensitivity of a common Land Use Cover Change (LUCC) model to the scale (Minimum Mapping Unit and Minimum Mapping Width) of input vector maps García-Álvarez, David Camacho Olmedo, María Teresa Paegelow, Martin Uncertainty Minimum Mapping Unit Minimum Mapping Width Scale Land Use Cover Change Modelling This work has been supported by project SIGEOMOD_2020BIA2013-43462-P (Spanish Ministry of Economy and Competitiveness and the Feder European Regional Development Fund). The first author is also grateful to the Spanish Ministry of Economy and Competitiveness, the European Social Fund and the University of Granada for the funding of his research activity (Ayudas para contratos predoctorales para la formación de doctores 2014; Contratos Puente 2018). Input maps are one of the main sources of uncertainty in Land Use Cover Change (LUCC) models. Such models are usually raster-based. Although extensive research has assessed the impact of the scale of input raster data in the modelling exercise, few studies have focused on the scale of input vector maps. This paper aims to investigate the effect that the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input vector maps have on a specific modelling application. To this end, we have set up different exercises with two input maps (SIOSE and CORINE) that have different MMU and MMW. Results prove the influence of these components of the scale on the simulations produced by the models. Modelled changes and quantities vary depending on the input maps. The modelled pattern is, however, very similar, despite the big differences between the reference maps. 2024-09-26T11:43:59Z 2024-09-26T11:43:59Z 2019 journal article Published version: García-Álvarez, David et al. Sensitivity of a common Land Use Cover Change (LUCC) model to the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input maps. Computers, Environment and Urban Systems, Volume 78, November 2019, 101389. https://doi.org/10.1016/j.compenvurbsys.2019.101389 https://hdl.handle.net/10481/95163 https://doi.org/10.1016/j.compenvurbsys.2019.101389 eng open access Elsevier