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Papers: 10.1038/s41598-018-30905-9

https://doi.org/10.1038/s41598-018-30905-9

A deconvolutional Bayesian mixing model approach for river basin sediment source apportionment

Cited by: 53
Author(s): William H. Blake, Pascal Boeckx, Brian C. Stock, Hugh G. Smith, Samuel Bodé, Hari Ram Upadhayay, Leticia Gaspar, Rupert Goddard, Amy Lennard, Iván Lizaga, David A. Lobb, Philip N. Owens, Ellen L. Petticrew, Zou Zou A. Kuzyk, Bayu D. Gari, Linus K. Munishi, Kelvin Mtei, Amsalu Nebiyu, Lionel Mabit, Ana Navas Izquierdo, Brice X. Semmens
Published: almost 7 years ago

Software Mentions 2

cran: EDA
Energy Decomposition Analysis
Papers that mentioned: 81
Very Likely Science (93)
cran: MixSIAR
Bayesian Mixing Models in R
Papers that mentioned: 58
Very Likely Science (100)