García Álvarez, DavidVan Delden, HedwigCamacho Olmedo, María TeresaPaegelow, MartinKoutsopoulos, KostisDe Miguel, RafaelSchmeinck, DanielaMaroto Gamero, Rafael Miguel2024-02-072024-02-072019García-Álvarez, David, et al. «Uncertainty Challenge in Geospatial Analysis: An Approximation from the Land Use Cover Change Modelling Perspective». Geospatial Challenges in the 21st Century, editado por Kostis Koutsopoulos et al., Springer International Publishing, 2019, pp. 289-314. https://doi.org/10.1007/978-3-030-04750-4_15.10.1007/978-3-030-04750-4_15https://hdl.handle.net/20.500.14352/100030All data and geospatial analyses come with uncertainty. Although its importance has been widely recognized, uncertainty issues are still not correctly addressed in most of the current geospatial research. This chapter aims to provide an overview of the concepts, sources and tools to manage the uncertainty in geospatial analysis. To this end, we intend to increase the awareness about the importance of uncertainty for all geospatial data and analyses. Due to time and chapter length considerations, we address this topic from the Land Use Cover Change Modelling perspective.engbook parthttps://doi.org/10.1007/978-3-030-04750-4_15restricted accessGeospatial technologiesUncertaintyLand coverModellingLand UseGeografía54 Geografía