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Chapitre D'ouvrage Année : 2019

Uncertainty challenge in geospatial analysis : an approximation form the land use cover change modelling perspective

Résumé

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.

Domaines

Géographie
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Dates et versions

hal-03347840 , version 1 (17-09-2021)

Identifiants

Citer

D. Garcia-Alvarez, H. van Delden, Maria Teresa Camacho Olmedo, Martin Paegelow. Uncertainty challenge in geospatial analysis : an approximation form the land use cover change modelling perspective. Kousoppoulos K, et al. Geospatial challenges in the 21th Century, Key challenges in geography, Springer Nature, pp.289-314, 2019, 978-3-030-04750-4. ⟨10.1007/978-3-030-04750-4_15⟩. ⟨hal-03347840⟩
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