Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential

RT @sandersoil: Fun collaboration with @tom_hengl @MarkusWalsh1 @IchsaniWheeler and the great team of Sandy Harrison & Colin Prentice explo…
Fun collaboration with @tom_hengl @MarkusWalsh1 @IchsaniWheeler and the great team of Sandy Harrison & Colin Prentice exploring the world without humans in @thePeerJ https://t.co/raaAYZeRTa #Biogeography #ComputationalBiology #PlantScience
Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential https://t.co/QGrQ99Sa9r @thePeerJ https://t.co/Odiy0b4U4X
2685 days ago
RT @tom_hengl: Imagine world without us / Natural Vegetation developing without obstacles. Yes it would have been much greener planet, exce…
2685 days ago
RT @tom_hengl: Imagine world without us / Natural Vegetation developing without obstacles. Yes it would have been much greener planet, exce…
RT @tom_hengl: Imagine world without us / Natural Vegetation developing without obstacles. Yes it would have been much greener planet, exce…
RT @tom_hengl: Imagine world without us / Natural Vegetation developing without obstacles. Yes it would have been much greener planet, exce…
RT @tom_hengl: Imagine world without us / Natural Vegetation developing without obstacles. Yes it would have been much greener planet, exce…
RT @tom_hengl: Imagine world without us / Natural Vegetation developing without obstacles. Yes it would have been much greener planet, exce…
Imagine world without us / Natural Vegetation developing without obstacles. Yes it would have been much greener planet, except in the areas that are now efficiently irrigated or where soils have been enriched in nutrients / SOC https://t.co/2GMysSRUDI