FingR: A Support for Sediment Source Fingerprinting Studies
FingR: A Support for Sediment Source Fingerprinting Studies
The fingR package is a comprehensive package designed to support Sediment Source Fingerprinting studies. It provides essentials tools including: dataset characterisation, tracer selection from analysed properties through the Three-step method, model source contributions modelling with the Bayesian Mixing Model (BMM), and assessment of modelling predictions prediction though the use of virtual mixtures, supporting BMM and MixSIAR models. Furthermore, the BMM model supports the use of isotopic ratios as tracers. The fingR package is available on GitHub and archived on Zenodo (here).
catchment management, soil erosion, Water catchment protection, sediment tracing, Bayesian Mixing Model, R package, lanscape management, Landscape conservation policy, source-to-sink, sediment fingerprinting, Landscape management, Soil erosion, sediment source fingerprinting, Landscape protection, Soil Erosion/prevention & control, soil management, Soil Erosion, Soil Erosion/prevention & control
catchment management, soil erosion, Water catchment protection, sediment tracing, Bayesian Mixing Model, R package, lanscape management, Landscape conservation policy, source-to-sink, sediment fingerprinting, Landscape management, Soil erosion, sediment source fingerprinting, Landscape protection, Soil Erosion/prevention & control, soil management, Soil Erosion, Soil Erosion/prevention & control
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