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

Meyer, H; Pebesma, E

Research article (journal) | Peer reviewed

Abstract

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 about the publication

JournalNature Communications
Volume13
StatusPublished
Release year2022
Language in which the publication is writtenEnglish
DOI10.1038/s41467-022-29838-9
Keywordsmachine learning, predictive mapping, machine learning, global maps, validation, extrapolation

Authors from the University of Münster

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