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Summary

The occCite workflow follows a three-step process. First, the user inputs one or more taxonomic names (or a phylogeny). occCite then rectifies these names by checking them against one or more taxonomic databases, which can be specified by the user (see the Global Names List). The results of the taxonomic rectification are then kept in an occCiteData object in local memory. Next, occCite takes the occCiteData object and user-defined search parameters to query BIEN (through rbien) and/or GBIF(through rGBIF) for records. The results are appended to the occCiteData object, along with metadata on the search. Finally, the user can pass the occCiteData object to occCitation, which compiles citations for the primary providers, database aggregators, and R packages used to build the dataset.

Please cite occCite. Run the following to get the appropriate citation for the version you’re using:

citation(package = "occCite")
## 
## Owens H, Merow C, Maitner B, Kass J, Barve V, Guralnick R (2022).
## _occCite: Querying and Managing Large Biodiversity Occurrence
## Datasets_. doi: 10.5281/zenodo.632770 (URL:
## https://doi.org/10.5281/zenodo.632770), R package version 0.5.7,
## <URL: https://CRAN.R-project.org/package=occCite>.
## 
## A BibTeX entry for LaTeX users is
## 
##   @Manual{,
##     title = {occCite: Querying and Managing Large Biodiversity Occurrence Datasets},
##     author = {Hannah Owens and Cory Merow and Brian Maitner and Jamie Kass and Vijay Barve and Robert Guralnick},
##     year = {2022},
##     note = {R package version 0.5.7},
##     url = {https://CRAN.R-project.org/package=occCite},
##     doi = {10.5281/zenodo.632770},
##   }

Installation:

install.packages("occCite")

Or, install via r-universe

install.packages("occCite", repos = "https://ropensci.r-universe.dev")

Or, install github development version:

devtools::install_github("ropensci/occCite")

After using one of these options, you can load the package into your environment using:

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