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Xiaojian Liu, Ourania Kounadi and Raul Zurita-Milla
Applications of machine-learning-based approaches in the geosciences have witnessed a substantial increase over the past few years. Here we present an approach that accounts for spatial autocorrelation by introducing spatial features to the models. In pa...
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Laurens Bogaardt, Romulo Goncalves, Raul Zurita-Milla and Emma Izquierdo-Verdiguier
The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the geosciences. For instance, it is used in dimensionality reduction and as a support operator for various analytical tasks applicable to spatio-temporal da...
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Hamed Mehdipoor, Raul Zurita-Milla, Ellen-Wien Augustijn and Arnold J. H. Van Vliet
The increasing availability of volunteered geographic information (VGI) enables novel studies in many scientific domains. However, inconsistent VGI can negatively affect these studies. This paper describes a workflow that checks the consistency of Volunt...
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