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pro vyhledávání: '"von Uexkull, Nina"'
Autor:
Hoch, Jannis, de Bruin, Sophie, Buhaug, Halvard, von Uexkull, Nina, van Beek, Rens, Wanders, Niko, Hydrologie, Landscape functioning, Geocomputation and Hydrology, Landdegradatie en aardobservatie
Publikováno v:
Hoch, J M, Bruin, S P D, Buhaug, H, Uexkull, N V, Beek, R V & Wanders, N 2021, ' Projecting armed conflict risk in Africa towards 2050 along the SSP-RCP scenarios: a machine learning approach ', Environmental Research Letters, vol. 16, no. 12, 124068, pp. 1-21 . https://doi.org/10.1088/1748-9326/ac3db2
Environmental Research Letters, 16(12), 1. IOP Publishing
Environmental Research Letters, 16(12):124068, 1-21. IOP Publishing Ltd.
Environmental Research Letters
Environmental Research Letters, 16(12), 1. IOP Publishing
Environmental Research Letters, 16(12):124068, 1-21. IOP Publishing Ltd.
Environmental Research Letters
In the past decade, several efforts have been made to project armed conflict risk into the future. This study broadens current approaches by presenting a first-of-its-kind application of machine learning (ML) methods to project sub-national armed con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcc0ca5d489d4fab7d65bea8e45bd88f
https://research.vu.nl/en/publications/46259c4f-e6df-4034-8bfc-232f4d749c32
https://research.vu.nl/en/publications/46259c4f-e6df-4034-8bfc-232f4d749c32
Akademický článek
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