- Last updated
- June 12, 2023
- Terms of use
-
- Organization
- EnviDat: the Environmental Data Portal
- Categories
- Education, culture and sport
Description
The R script eemma.R, which implements Ensemble End-Member Mixing Analysis (EEMMA) to estimate source fractions in mixtures, exploiting information contained in time-series correlations among tracer time series.
A brief user's guide, a demonstration script, and a demonstration data set are also provided, to accompany Kirchner, J.W., Mixing models with multiple, overlapping, or incomplete end-members, quantified using time series of a single tracer, Geophysical Research Letters, 2023.
The user's guide is available for public use under Creative Commons CC-BY-SA. Public use of the scripts is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/
Resources
- TXT vignette data
- SERVICE eemma.R
- OCTET eemma vignette script
- PDF eemma user's guide
Showcases
Additional information
- Identifier
- 48dff6cd-bfcb-4c5e-a30d-f909dc8d36d3@envidat
- Issued date
- June 9, 2023
- Modified date
- June 12, 2023
- Conforms to
- -
- Publisher
- Contact points
- Languages
- English
- Further information
- -
- Landing page
- https://www.envidat.ch/#/metadata/eemma
- Documentation
- -
- Temporal coverage
- -
- Spatial coverage
- -
- Update interval
- -
- Metadata Access
- API (JSON) Download XML
