Abstract
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.
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Acknowledgements
This work has been supported by project SIGEOMOD_2020 BIA2013-43462-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 and the European Social Fund for the funding of his research activity.
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García-Álvarez, D., Van Delden, H., Camacho Olmedo, M.T., Paegelow, M. (2019). Uncertainty Challenge in Geospatial Analysis: An Approximation from the Land Use Cover Change Modelling Perspective. In: Koutsopoulos, K., de Miguel González, R., Donert, K. (eds) Geospatial Challenges in the 21st Century. Key Challenges in Geography. Springer, Cham. https://doi.org/10.1007/978-3-030-04750-4_15
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