A comprehensive suite of tools for managing, processing, and analyzing data from the IFCB. I R FlowCytobot ('iRfcb') supports quality control, geospatial analysis, and preparation of IFCB data for publication in databases like <https://www.gbif.org>, <https://www.obis.org>, <https://emodnet.ec.europa.eu/en>, <https://shark.smhi.se/>, and <https://www.ecotaxa.org>. The package integrates with the MATLAB 'ifcb-analysis' tool, which is described in Sosik and Olson (2007) <doi:10.4319/lom.2007.5.204>, and provides features for working with raw, manually classified, and machine learningâclassified image datasets. Key functionalities include image extraction, particle size distribution analysis, taxonomic data handling, and biomass concentration calculations, essential for plankton research.
Version: 0.5.1 Imports: zip, lifecycle, shiny, stringr, dplyr, sf, reticulate (≥ 1.41.0), tidyr, ggplot2, readr, worrms, png, R.matlab, curl (≥ 6.0.0), lubridate Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), mockery, spelling Published: 2025-04-22 DOI: 10.32614/CRAN.package.iRfcb Author: Anders Torstensson [aut, cre] (affiliation: Swedish Meteorological and Hydrological Institute), Kendra Hayashi [ctb], Jamie Enslein [ctb], Raphael Kudela [ctb], Alle Lie [ctb], Jayme Smith [ctb], DTO-BioFlow [fnd] (funding: Horizon Europe, HORIZON-MISS-2022-OCEAN-01-07), SBDI [fnd] (funding: Swedish Research Council, 2019-00242) Maintainer: Anders Torstensson <anders.torstensson at smhi.se> License: MIT + file LICENSE URL: https://europeanifcbgroup.github.io/iRfcb/, https://github.com/EuropeanIFCBGroup/iRfcb NeedsCompilation: no Language: en-US Citation: iRfcb citation info Materials: README, NEWS CRAN checks: iRfcb results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=iRfcb to link to this page.
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