CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Filters
1 research outputs found
Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction
Author
Appelhans
Attorre
+55Â more
Bahn
Behrens
Breiman
Brenning
Brungard
Christoph Reudenbach
Cohen
Cracknell
Cánovas-GarcÃa
Fox
Gasch
Georganos
Getzin
Ghosh
Gudmundsson
Hanna Meyer
Hengl
Hessische Verwaltung für Bodenmanagement und Geoinformation
Hessische Verwaltung für Bodenmanagement und Geoinformation
Hunt
Janatian
Jing
Juel
Kuhn
Kuhn
Langella
Lary
Le Rest
Li
Liaw
Mascaro
Meyer
Meyer
Meyer
Meyer
Meyer
Micheletti
Planetary Habitability Laboratory
Pohjankukka
R Core Team
Roberts
Rocha
Roubeix
Schratz
Shi
Stephan Wöllauer
Stevens
Thomas Nauss
Valavi
Walsh
Wang
Wenger
Xie
Yang
Zanella
Publication venue
'Elsevier BV'
Publication date
Field of study
No full text
Crossref