Machine learning-based global maps of ecological variables and the challenge of assessing them

Meyer, H; Pebesma, E

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

The recent wave of published global maps of ecological variables has caused as much excitement as it has received criticism. Here we look intothe data and methods mostly used for creating these maps,and discuss whether the quality of predicted values can be assessed, globally and locally.

Details zur Publikation

FachzeitschriftNature Communications
Jahrgang / Bandnr. / Volume13
StatusVeröffentlicht
Veröffentlichungsjahr2022
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1038/s41467-022-29838-9
Stichwörtermachine learning, predictive mapping, machine learning, global maps, validation, extrapolation

Autor*innen der Universität Münster

Meyer, Hanna
Professur für Remote Sensing und Spatial Modelling (Prof. Meyer)
Pebesma, Edzer
Professur für Geoinformatik (Prof. Pebesma)