EMMAgeo - R package

DOI

EMMA – End Member Modelling Analysis of grain-size data is a technique to unmix multimodal grain-size data sets, i.e., to decompose the data into the underlying grain-size distributions (loadings) and their contributions to each sample (scores). The R package EMMAgeo contains a series of functions to perform EMMA based on eigenspace decomposition. The data are rescaled and transformed to receive results in meaningful units, i.e., volume percentage. EMMA can be performed in a deterministic and two robust ways, the latter taking into account incomplete knowledge about model parameters. The model outputs can be interpreted in terms of sediment sources, transport pathways and transport regimes (loadings) as well as their relative importance throughout the sample space (scores).

Identifier
DOI https://doi.org/10.5880/GFZ.4.6.2019.002
Related Identifier https://doi.org/10.1016/j.sedgeo.2011.09.014
Related Identifier https://doi.org/10.5194/egqsj-68-29-2019
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6662
Provenance
Creator Dietze, Elisabeth (Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany); Dietze, Michael (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Publisher GFZ Data Services
Contributor Dietze, Elisabeth; Dietze, Michael
Publication Year 2019
Rights GNU General Public License, Version 3, 29 June 2007, Copyright © 2019 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences (E. & M. Dietze); https://www.gnu.org/licenses/gpl-3.0.html
OpenAccess true
Representation
Language English
Resource Type Software
Format application/octet-stream
Size 4 Files
Version 0.9.6
Discipline Geosciences