Package: expowo 3.1

Debora Zuanny

expowo: An R Package for Mining Global Plant Diversity and Distribution Data

Produces diversity estimates and species lists with associated global distribution for any vascular plant family and genus from Plants of the World Online database, by interacting with the source code of each plant taxon page. It also creates global maps of species richness, graphics of species discoveries and name changes over time. For more details: 'Zuanny, D.C., B.Vilela, P.W.Moonlight, T.E.Särkinen, and D.Cardoso. 2024. expowo: An R package for mining global plant diversity and distribution data. Applications in Plant Sciences 12: e11609'.

Authors:Debora Zuanny [aut, cre, cph], Domingos Cardoso [aut, ths, cph]

expowo_3.1.tar.gz
expowo_3.1.zip(r-4.7-any)expowo_3.1.zip(r-4.6-any)expowo_3.1.zip(r-4.5-any)
expowo_3.1.tgz(r-4.6-any)expowo_3.1.tgz(r-4.5-any)
expowo_3.1.tar.gz(r-4.7-any)expowo_3.1.tar.gz(r-4.6-any)
expowo_3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
expowo/json (API)

# Install 'expowo' in R:
install.packages('expowo', repos = c('https://dboslab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dboslab/expowo/issues

Pkgdown/docs site:https://dboslab.github.io

Datasets:
  • angioData - List of Angiosperm species
  • angioGenera - List of Angiosperm genera
  • botregions - Countries and associated classification of botanical divisions
  • POWOcodes - Complete list of vascular plant families and associated URI addresses

On CRAN:

Conda:

data-miningextractor

7.40 score 9 stars 104 scripts 278 downloads 10 exports 85 dependencies

Last updated from:e2b8e10cf2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK243
source / vignettesOK240
linux-release-x86_64OK222
macos-release-arm64OK182
macos-oldrel-arm64OK171
windows-devel-x86_64OK122
windows-release-x86_64OK248
windows-oldrel-x86_64OK292
wasm-releaseOK170

Exports:accGraphget_year_pubsmegaGenpowoFampowoGenerapowoMappowoSpDistpowoSpeciessaveCSVtopGen

Dependencies:ashaskpassbitopsclassclassIntcliclustercolorspacecowplotcpp11curldata.tableDBIdeSolvedplyre1071farverfdafdsfloraFNNgenericsggplot2gluegtablehdrcdehttrisobandjsonlitekernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmimemulticoolmvtnormnlmeopensslpcaPPpillarpkgconfigplyrpracmaproxyPupillometryRpurrrR.methodsS3R.ooR.utilsR6rainbowRColorBrewerRcppRCurlrlangrnaturalearths2S7scalessfsignalspstringdiststringistringrsysterratibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwkzoo

Mining genus list for any vascular plant family
Setup | Mining all accepted genera for some plant families | Mining all accepted genera for all vascular plant families | Narrowing down the powoGenera search based on a specified country vector | Narrowing down the powoGenera search based on a specified genus vector | Reference
Rendered frommining_accepted_genera.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2022-05-17

Associated data
Setup | POWOcodes - A complete list of vascular plant families and associated URI addresses | angioData - A dataframe of Angiosperm species | angioGenera - A data frame of Angiosperm genera | botregions - Countries and associated classification of botanical divisions | Reference
Rendered fromdata_package.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2023-03-28

Mapping global distribution for any taxonomic level
Setup | 1. Mining species distribution from POWO to use as input data in powoMap | 2. Creating global-scale map for one genus to show species richness at political country level | 3. Creating global-scale map for one genus to show species richness at botanical country level | 4. Creating global-scale map of species richness for an entire family | 5. Using an external spreadsheet as input data in powoMap | 6. Reference
Rendered frommapping_distribution.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2023-02-09

Mining distribution for any plant species
Setup | Mining the distribution for any plant species | Mining distribution for all vascular plant species | Reference
Rendered frommining_species_distribution.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2023-02-09

Mining species list for any plant family
Setup | Mining all accepted species for any plant family | Narrowing down the powoSpecies search based on a specified country vector | Narrowing down the powoSpecies search based on a specified genus and country vector | Mining all accepted species for all plant families | Reference
Rendered frommining_species.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2024-02-26

Mining species number of any plant family
Setup | Mining the total species number for any plant family | Mining species number accross all plant families | Reference
Rendered frommining_family_species_number.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2023-02-09

Mining the top richest genera of vascular plants
Setup | Mining the top richest genera for any vascular plant family | Mining the top richest genera accross all vascular plant families | Reference
Rendered frommining_toprichest_genera.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2023-02-09

Plotting nomenclatural changes
Setup | 1. Plotting nomenclatural changes for the entire dataset
Rendered fromplotting_nomenclatural_changes.Rmdusingknitr::rmarkdown

Last update: 2026-07-14
Started: 2024-03-01

Plotting species discovery
Setup | 1. Plotting the species discoveries for one genus | 2. Plotting the species discoveries for the entire dataset
Rendered fromplotting_discoveries.Rmdusingknitr::rmarkdown

Last update: 2026-07-14
Started: 2023-08-23