An interactive Shiny dashboard for exploring alien invertebrate species data included in the paper "From soil to stream and sea: species richness and distribution of alien invertebrates in Romania" by Cristina Preda et al. (submitted to Neobiota).
- Interactive Map: Alien species distribution across Romania, color-coded by realm
- Advanced Filtering: Filter by realm, species, family, EU status, county, and year
- Statistical Visualizations: Top species, counties, families, and temporal trends
- Pathway Analysis: Chord diagrams showing introduction pathways and origins
- Data Source Analysis: Venn diagrams comparing citizen science, published literature, and author observations
- Data Export: Download filtered species lists and full datasets
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R: Version 4.0.0 or higher is required
- Download from: https://cran.r-project.org/
- Check your version:
R.version.string
-
RStudio (optional but recommended):
- Download from: https://posit.co/downloads/
# 1. Install devtools (if not already installed)
install.packages("devtools")
# 2. Install alieninvro from GitHub
devtools::install_github("rlaurentiu/alieninvro")
# 3. Load the package
library(alieninvro)
# 4. Launch the dashboard
run_alieninvro_app()# Install version 1.0.0
devtools::install_github("rlaurentiu/alieninvro@v1.0.0")
# Install the latest development version
devtools::install_github("rlaurentiu/alieninvro@main")If you encounter installation issues:
# Update all dependencies
update.packages(ask = FALSE)
# Install with dependencies
devtools::install_github("rlaurentiu/alieninvro", dependencies = TRUE)
# Install with build vignettes (if available)
devtools::install_github("rlaurentiu/alieninvro", build_vignettes = TRUE)If you use this dashboard or data, please cite:
Preda et al. (submitted). From soil to stream and sea: species richness and distribution of alien invertebrates in Romania. Neobiota.
This package was developed with assistance from Claude AI (Anthropic) for:
- R/Shiny application code development
- Package structure and organization
- Data visualization and interactive features
- User interface design
Human contributions: Data curation, scientific analysis, conceptualization, and validation.
MIT License
For questions or issues, please open an issue on GitHub.