Uncertainty Challenge in Geospatial Analysis: An Approximation from the Land Use Cover Change Modelling Perspective

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https://doi.org/10.1007/978-3-030-04750-4_15

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2019

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Springer
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https://hdl.handle.net/20.500.14352/100030

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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.

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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