pfm

The R package pfm provides some utilities for fate modelling, including dealing with FOCUS pesticide fate modelling tools, (currently only TOXSWA cwa and out files), made available under the GNU public license.

Installation

The easiest way to install the package is probably to use the r-universe repo:

install.packages("pfm", repos = c("https://jranke.r-universe.dev", "https://cran.r-project.org"))

Alternatively you can install the package using the remotes package. Using quick = TRUE skips docs, multiple-architecture builds, demos, and vignettes.

remotes::install_github("jranke/pfm", quick = TRUE)

Use

Please refer to the reference.

Examples

One recent nice example of the usage of this package is the visualisation of a time weighted average for a sawtooth curve obtained from several overlays of mkinfit predictions as shown here.

Applications

Calculations of predicted environmental concentrations using this package have been used in some publications by Agroscope.

Korkaric M, Lehto M, Poiger T, de Baan L, Mathis M, Ammann L, Hanke I, Balmer M, Blom JF (2023) Risikoindikatoren für Pflanzenschutzmittel: weiterführende Analysen zur Berechnung. Agroscope Science, 154, 1-48, doi:10.34776/as154g

Korkaric M, Ammann L, Hanke I, Schneuwly J, Lehto M, Poiger T, de Baan L, Daniel O, Blom JF (2022) Neue Pflanzenschutzmittel-Risikoindikatoren für die Schweiz. Agrarforschung Schweiz 13, 1-10, doi:10.34776/afs13-1

Korkaric M, Hanke I, Grossar D, Neuweiler R, Christ B, Wirth J, Hochstrasser M, Dubuis PH, Kuster T, Breitenmoser S, Egger B, Perren S, Schürch S, Aldrich A, Jeker L, Poiger T, Daniel O (2020) Datengrundlage und Kriterien für eine Einschränkung der PSM-Auswahl im ÖLN: Schutz der Oberflächengewässer, der Bienen und des Grundwassers (Metaboliten), sowie agronomische Folgen der Einschränkungen. Agroscope Science, 106, 2020, 1-31. doi:10.34776/as106g