Sensitivity of a standard Land Use Cover change cellular automata model to resample input Land Use Cover maps García-Álvarez, David Camacho Olmedo, María Teresa Uncertainty Metronamica Majority rule Nearest neighbour Scale This work was supported by the Spanish Ministry of Science, Innovation and Universities and the Feder European Regional Development Fund [INCERTIMAPS PGC2018-100770-B-100]; Spanish Ministry of Economy and Competitiveness and the European Social Fund [Ayudas para contratos predoctorales para la formación de doctores 2014]; University of Granada [Contratos Puente 2018]. Input data is one of the main sources of uncertainty in Land Use Cover Change (LUCC) modelling. Research has focused on the sensitivity of LUCC models to the spatial resolution of Land Use Cover (LUC) maps. However, little attention has been paid to the way that spatial resolution is changed. Both the spatial resolution and the resampling method change the modelled landscape composition and configuration. This may affect the way Cellular Automata LUCC models behave and, accordingly, the landscapes they simulate. This paper analyses the sensitivity of a standard LUCC model (Metronamica) to changes in the spatial resolution and resampling method of input LUC maps. Results prove how the model is more sensitive to changes in the spatial resolution than to variations of the resampling method. This last component has not much influence in the simulated landscape, although it alters the landscape composition. 2024-09-26T11:15:29Z 2024-09-26T11:15:29Z 2021 journal article Published version: García-Álvarez, D., & Camacho Olmedo, M. T. (2021). Sensitivity of a standard Land Use Cover change cellular automata model to resample input Land Use Cover maps. South African Geographical Journal, 103(4), 540–560. https://doi.org/10.1080/03736245.2021.1872413 https://hdl.handle.net/10481/95152 10.1080/03736245.2021.1872413 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ embargoed access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Taylor and Francis