Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning
Bonannella Carmelo , Hengl Tomislav , Heisig Johannes , Parente Leandro , Wright N. Marvin , Herold Martin , Bruin de Sytze
Research article (journal) | Peer reviewedDetails about the publication
Journal: PeerJ
Volume: 10
Issue: e13728
Status: Published
Release year: 2022 (25/07/2022)
DOI: 10.7717/peerj.13728
Link to the full text: https://doi.org/10.7717/peerj.13728
Keywords: Species distribution model; Ecological niche; Ensemble modeling; Machine learning; Imbalanced data; Presence-absence; Spatiotemporal modeling; Stacked generalization; High resolution; Tree species
Authors from the University of Münster
| Heisig, Johannes | Professur für Geoinformatik (Prof. Pebesma) |