Package: VasGBIF 3.7.1

Yuxuan Wang

VasGBIF: Fast and Easy Compilation of Vascular Plants Occurrence Records from 'GBIF'

'GBIF' <https://www.gbif.org/> hosts over 500 million occurrence records of tracheophyte (vascular plants). However, dealing with them typically involves lots of workflows and time, posing significant challenges for researchers. To address these limitations, we present 'VasGBIF', a fast and easy 'R' package to parse and merge enormous tracheophyte records.

Authors:Yuxuan Wang [aut, cre]

VasGBIF_3.7.1.tar.gz
VasGBIF_3.7.1.zip(r-4.7-any)VasGBIF_3.7.1.zip(r-4.6-any)VasGBIF_3.7.1.zip(r-4.5-any)
VasGBIF_3.7.1.tgz(r-4.6-any)VasGBIF_3.7.1.tgz(r-4.5-any)
VasGBIF_3.7.1.tar.gz(r-4.7-any)VasGBIF_3.7.1.tar.gz(r-4.6-any)
VasGBIF_3.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
VasGBIF/json (API)

# Install 'VasGBIF' in R:
install.packages('VasGBIF', repos = c('https://wyx619.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wyx619/vasgbif/issues

Pkgdown/docs site:https://wyx619.github.io

Datasets:

On CRAN:

Conda:

biodiversitygbifoccurrencerpackages

5.83 score 3 stars 7 scripts 9 exports 114 dependencies

Last updated from:ef82ba6edb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK499
source / vignettesOK398
linux-releaseOK374
macos-releaseOK444
macos-oldrelOK581
windows-develOK390
windows-releaseOK457
windows-oldrelOK347
wasm-releaseOK179

Exports:check_taxoncustomized_filterdetect_native_coorddetect_native_countryexport_recordsimport_recordsmap_recordspar_clean_coordinatesset_threads

Dependencies:askpassbase64encbitbit64brewbslibcachemclassclassIntclicodetoolsCoordinateCleanercpp11crosstalkcrulcurldata.tableDBIdigestdoParalleldplyre1071evaluatefarverfastmapfontawesomeforeachfsgenericsgeohashToolsgeojsonsfgeometriesgeosphereggplot2gluegtablehighrhtmltoolshtmlwidgetshttpcodehttpuvhttrisobanditeratorsjquerylibjsonifyjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafemleafletleaflet.providersleafpoplifecyclemagrittrmapviewmemoisemimeoaiopensslotelpillarpkgconfigplyrpngpromisesproxyR6rapidjsonrrappdirsrasterRColorBrewerRcpprgbifrlangrmarkdownrnaturalearths2S7sasssatellitescalesservrsfsfheadersspstringistringrsvglitesyssystemfontsterratextshapingtibbletidyselecttinytexTNRStriebeardunitsurltoolsutf8uuidvctrsviridisLitewhiskerwithrwkxfunxml2yaml

Application
Applications: from VasGBIF to letsR | Preparation: running the VasGBIF pipeline | Introducing letsR and Presence-Absence Matrices | Introduce Presence-Absence-Matrix | From VasGBIF Results to PAM | Summary Statistics | Plot a Single Taxon Occurrence Map | Add Environmental Variables | Generate a Richness Map | References
Rendered fromApplication.Rmdusingknitr::rmarkdown

Last update: 2026-09-24
Started: 2026-07-27

Example
Overview | Import Records | Check Taxon Name | Customized Filter | Clean Coordinates | Detect Native Status | Map Visualiztion | Export Records | Summary | Performance | References
Rendered fromExample.Rmdusingknitr::rmarkdown

Last update: 2026-09-24
Started: 2026-07-27

GetRecords
Search and Download Occurrence Records from GBIF | Account Setup & Package Loading | Registering a GBIF account | Loading the required packages | Setting your GBIF credentials | Searching & Submitting a Download Request | Finding the taxon key | Building predicates | Submitting the request | On limiting to preserved specimens | Waiting for completion | Downloading & Importing into VasGBIF | Download with rgbif (still in R) | Web download (recommended for very large datasets) | Importing with VasGBIF | References
Rendered fromGetRecords.Rmdusingknitr::rmarkdown

Last update: 2026-09-03
Started: 2026-07-27