@misc{10481/95163,
year = {2019},
url = {https://hdl.handle.net/10481/95163},
abstract = {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.},
organization = {Feder European Regional Development Fund},
organization = {Spanish Ministry of Economy and Competitiveness SIGEOMOD_2020BIA2013-43462-P},
organization = {European Social Fund},
organization = {University of Granada},
publisher = {Elsevier},
keywords = {Uncertainty},
keywords = {Minimum Mapping Unit},
keywords = {Minimum Mapping Width},
keywords = {Scale},
keywords = {Land Use Cover Change Modelling},
title = {Sensitivity of a common Land Use Cover Change (LUCC) model to the scale (Minimum Mapping Unit and Minimum Mapping Width) of input vector maps},
doi = {https://doi.org/10.1016/j.compenvurbsys.2019.101389},
author = {García-Álvarez, David and Camacho Olmedo, María Teresa and Paegelow, Martin},
}