2024-03-28T09:10:55Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:66622019-08-27T13:17:18ZDOIDBDOIDB.GFZfalse4DOIDB.GFZ
10.5880/GFZ.4.6.2019.002
Dietze, Elisabeth
Elisabeth
Dietze
0000-0003-4817-8441
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
AWI
Dietze, Michael
Michael
Dietze
0000-0001-6063-1726
GFZ German Research Centre for Geosciences, Potsdam, Germany
EMMAgeo - R package
GFZ Data Services
2019
Sedimentology
grain-size
unmixing
decomposition
EMMA
end-member
modelling
proxy
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION
EARTH SCIENCE > CLIMATE INDICATORS > PALEOCLIMATE INDICATORS
EARTH SCIENCE > PALEOCLIMATE > LAND RECORDS > LOESS
EARTH SCIENCE > PALEOCLIMATE > LAND RECORDS > SEDIMENTS
EARTH SCIENCE > LAND SURFACE > EROSION/SEDIMENTATION
EARTH SCIENCE > LAND SURFACE > GEOMORPHOLOGY
environment > natural environment > marine environment
environment > natural environment > terrestrial environment
Dietze, Elisabeth
Elisabeth
Dietze
0000-0003-4817-8441
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
AWI
Dietze, Michael
Michael
Dietze
0000-0001-6063-1726
GFZ German Research Centre for Geosciences, Potsdam, Germany
2018-01-01
eng
10.1016/j.sedgeo.2011.09.014
DOI of Menges et al paper when available
10.5194/egqsj-68-29-2019
4 Files
application/octet-stream
application/octet-stream
application/octet-stream
application/octet-stream
0.9.6
GNU General Public License, Version 3, 29 June 2007, Copyright © 2019 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences (E. & M. Dietze)
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).