TreeBasedKernels: an R-function for obtaining similarity kernels based on tree-based ensemble learners

DOI

This research was partially supported by the Bill and Melinda Gates Foundation via the STARS Grant Agreement (1094229-2014). We wish to express our gratitude to all the STARS partners and, in particular, to the ICRISAT-led team for organizing and collecting the required field data in Mali and to the STARS ITC team for pre-processing the WorldView-2 images. We would also like to acknowledge the European Commission Erasmus Mundus (SALAM2) for providing financial support for this research via a PhD grant to Ms. Azar Zafari.The dataset and code in this repository are related to following journal papers and Ph.D. thesis:

Date Submitted: 2020-02-04

Identifier
DOI https://doi.org/10.17026/dans-247-y9x3
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-247-y9x3
Provenance
Creator A. Zafari; R. Zurita-Milla; E. Izquierdo-Verdiguier
Publisher DANS Data Station Phys-Tech Sciences
Contributor M Th Koelen
Publication Year 2020
Rights GPL-3.0; info:eu-repo/semantics/openAccess; http://www.gnu.org/licenses/gpl-3.0
OpenAccess true
Contact M Th Koelen (Faculty of Geo-Information Science and Earth Observation)
Representation
Resource Type Dataset
Format application/zip; text/plain; application/pdf; type/x-r-syntax; text/csv; application/matlab-mat
Size 102213; 4702; 2527811; 16598; 382248; 7370608; 24280378; 184516630; 610890; 11769641; 38719256; 294607319; 44683792; 2776392; 291384; 55714560; 44667928; 55698696; 2146392; 43071360; 34543792; 43059096; 224184; 34531528; 5384; 4184
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences