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

Predicting into unknown space? Estimating the area of applicability of spatial prediction models

(2021) Hanna Meyer et al.   Methods in Ecology and Evolution

National climate and biodiversity strategies are hamstrung by a lack of maps

(2021) Guido Schmidt-Traub   Nature Ecology & Evolution

The global distribution and environmental drivers of aboveground versus belowground plant biomass

(2021) Haozhi Ma et al.   Nature Ecology & Evolution

Conservation needs to break free from global priority mapping

(2021) Carina Wyborn et al.   Nature Ecology & Evolution

Spatial cross-validation is not the right way to evaluate map accuracy

(2021) Alexandre M.J.-C. Wadoux et al.   ECOLOGICAL MODELLING

Spatial validation reveals poor predictive performance of large-scale ecological mapping models

(2020) Pierre Ploton et al.   Nature Communications

Soil nematode abundance and functional group composition at a global scale

(2019) Johan van den Hoogen et al.   NATURE

The global tree restoration potential

(2019) Jean-Francois Bastin et al.   SCIENCE

TRY plant trait database – enhanced coverage and open access

(2019) Jens Kattge et al.   GLOBAL CHANGE BIOLOGY

A methodology to derive global maps of leaf traits using remote sensing and climate data

(2018) Álvaro Moreno-Martínez et al.   REMOTE SENSING OF ENVIRONMENT

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

(2018) Tomislav Hengl et al.   PeerJ

block CV: An r package for generating spatially or environmentally separated folds for k -fold cross-validation of species distribution models

(2018) Roozbeh Valavi et al.   Methods in Ecology and Evolution

SoilGrids250m: Global gridded soil information based on machine learning

(2017) Tomislav Hengl et al.   PLoS One

Assessing transferability of ecological models: an underappreciated aspect of statistical validation

(2012) Seth J. Wenger et al.   Methods in Ecology and Evolution