RT Book, Section
T1 Uncertainty Challenge in Geospatial Analysis: An Approximation from the Land Use Cover Change Modelling Perspective
A1 García Álvarez, David
A1 Van Delden, Hedwig
A1 Camacho Olmedo, María Teresa
A1 Paegelow, Martin
A2 Koutsopoulos, Kostis
A2 De Miguel, Rafael
A2 Schmeinck, Daniela
A2 Maroto Gamero, Rafael Miguel
AB All 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.
PB Springer
YR 2019
FD 2019
LK https://hdl.handle.net/20.500.14352/100030
UL https://hdl.handle.net/20.500.14352/100030
LA eng
NO García-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.
NO Ministerio de Economía y Competitividad (España)
NO European Commission
DS Docta Complutense
RD 19 dic 2025