dafishr: Download, Wrangle, and Analyse Vessel Monitoring System Data

Allows to download, clean and analyse raw Vessel Monitoring System, VMS, data from Mexican government. You can use the vms_download() function to download raw data, or you can use the sample_dataset provided within the package. You can follow the tutorial in the vignette available at <https://cbmc-gcmp.github.io/dafishr/index.html>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: dplyr, fst, ggplot2, lubridate, magrittr, mixtools, readr, readxl, rlang, sf, stringr, tibble, tidyr, tidyselect, utils, vroom
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-12-06
Author: Fabio Favoretto ORCID iD [aut, cre], Eduardo Leon Solorzano ORCID iD [ctb]
Maintainer: Fabio Favoretto <fabio at gocmarineprogram.org>
BugReports: https://github.com/CBMC-GCMP/dafishr/issues/
License: MIT + file LICENSE
URL: https://github.com/CBMC-GCMP/dafishr, https://cbmc-gcmp.github.io/dafishr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: dafishr results


Reference manual: dafishr.pdf
Vignettes: Where to start


Package source: dafishr_1.0.0.tar.gz
Windows binaries: r-prerel: dafishr_1.0.0.zip, r-release: dafishr_1.0.0.zip, r-oldrel: dafishr_1.0.0.zip
macOS binaries: r-prerel (arm64): dafishr_1.0.0.tgz, r-release (arm64): dafishr_1.0.0.tgz, r-oldrel (arm64): dafishr_1.0.0.tgz, r-prerel (x86_64): dafishr_1.0.0.tgz, r-release (x86_64): dafishr_1.0.0.tgz


Please use the canonical form https://CRAN.R-project.org/package=dafishr to link to this page.