bRacatus
A Method to Estimate the Accuracy and Biogeographical Status of Georeferenced Biological Data
Automated assessment of accuracy and geographical status of georeferenced biological data. The methods rely on reference regions, namely checklists and range maps. Includes functions to obtain data from the Global Biodiversity Information Facility https://www.gbif.org/ and from the Global Inventory of Floras and Traits https://gift.uni-goettingen.de/home. Alternatively, the user can input their own data. Furthermore, provides easy visualisation of the data and the results through the plotting functions. Especially suited for large datasets. The reference for the methodology is: Arlé et al. (under review).
- Version2.0.0
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Languageen-GB
- bRacatus citation info
- Last release05/03/2024
Documentation
Team
Eduardo Arlé
Alexander Zizka
Show author detailsRolesAuthorSam Levin
Show author detailsRolesContributorPatrick Weigelt
Carsten Meyer
Insights
Last 30 days
This package has been downloaded 471 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 18 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,782 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 47 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports9 packages
- Suggests2 packages