The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
AntClassify is an R package designed to standardize ant community analyses, particularly for Neotropical and Brazilian Atlantic Forest assemblages. It automates:
By automating these tasks, AntClassify reduces manual effort and increases reproducibility, making it a practical tool for researchers working with ant assemblages.
You can install the development version of AntClassify from GitHub:
# install.packages("remotes")
remotes::install_github("cogdebora/AntClassify")Once the package is accepted on CRAN, you will also be able to install it with:
install.packages("AntClassify")Below is a reproducible example using a standardized test dataset:
library(AntClassify)
# Create test dataset (same structure used in package tests)
ant_test_data <- data.frame(
"Pheidole megacephala" = 10,
"Strumigenys emmae" = 5,
"Paratrechina longicornis" = 8,
"Hypoponera leninei" = 3,
"Camponotus fallatus" = 2,
"Ectatomma brunneum" = 1,
"Ectatomma permagnum" = 1,
"Pheidole aberrans" = 1,
"Pheidole fimbriata" = 1,
"Pheidole obscurithorax" = 1,
check.names = FALSE
)
# Run full pipeline
results <- antclassify(ant_test_data)
# View outputs
results$exotic$table
results$endemic$table
results$rarity$table
# Plot outputs
print(results$exotic$plot)
print(results$endemic$plot)
print(results$rarity$plot)For more detailed examples and function documentation, see the package vignettes:
vignette("AntClassify")If you use AntClassify in your research, please cite the following references:
Silva, N. S., Maciel, E. A., Prado, L. P., Silva, O. G., Barbosa, D. A., Andrade-Silva, J., … & Morini, M. S. (2024). Ant rarity and vulnerability in Brazilian Atlantic Forest fragments. Biological Conservation, 296, 110640. DOI: https://doi.org/10.1016/j.biocon.2024.110640
Silva, N. S., Gonçalves, D. C. de O., Wazema, C. T., Barbosa, D. A., Prado, L. P. do, Andrade-Silva, J., Fernandes, T. T., Silva, R. R., & Morini, M. S. de C. (2025). Endemism and vulnerability of ants in the phytophysiognomies of the Brazilian Atlantic Forest. In Brazilian Myrmecology: Exploring the World’s Richest Ant Fauna (Cap. 16, pp. 371–394). Editora Científica Digital. DOI: https://doi.org/10.37885/250920259
Vieira, V. B. (2024). Quem são e onde estão as formigas exóticas do Brasil? [Dissertação de Mestrado, Universidade Federal do Paraná]. Curitiba, PR, Brasil.
Silvestre, R., Brandão, C. R. F., & Silva, R. R. (2003). Grupos funcionales de hormigas: el caso de los gremios del Cerrado. In F. Fernández (Ed.), Introducción a las Hormigas de las Región Neotropical (pp. 113–148). Instituto Alexander Von Humboldt.
Silva, R. R., Silvestre, R., Brandão, C. R. F., Morini, M. S. C., & Delabie, J. H. C. (2015). Grupos trófi cos e guildas em formigas poneromorfas. In: Delabie, Jacques H. C. et al. As formigas poneromorfas do Brasil. Ilhéus: Editus, 2015. p. 163-179.
Delabie, J. H. C., Agosti, D., & Nascimento, I. C. (2000). Litter ant communities of the Brazilian Atlantic rain forest region. Sampling Ground-dwelling Ants: case studies from the world’s rain forests. Curtin University of Technology School of Environmental Biology Bulletin,v. 18.
Additionally, if you use the package itself, please cite:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.