The goal of ecotourism is to provide clean,
ready-to-use datasets for example analyses in teaching, demos, and
reproducible workflows.
It currently includes wildlife (e.g., cuttlefish) occurrence records,
tourism counts by region, and local weather for matching locations.
👉 Documentation site: https://vahdatjavad.github.io/ecotourism/
Install the development version from GitHub:
# install.packages("pak")
pak::pak("vahdatjavad/ecotourism")If you prefer remotes:
# install.packages("remotes")
remotes::install_github("vahdatjavad/ecotourism")List all available datasets and their short titles:
| Object | Title |
|---|---|
| glowworms | Glowworms Occurrence Data (2014–2024) |
| gouldian_finch | Gouldian Finch Occurrence Data (2014–2024) |
| manta_rays | Manta Ray Occurrence Data (2014–2024) |
| orchids | Orchid Occurrence Data (2014–2024) |
| top_stations | Top Weather Stations for Each Organism |
| weather_data | Daily Weather Data for Top Stations (2014–2024) |
| weather_stations | Australian Weather Station Metadata |
| tourism_quarterly | Australian tourism spots quarterly counts |
| tourism_region | Australian tourism regions with lat and lon. |
This is the relational dataset in this package:
To see documentation for any dataset, use:
?ecotourism::DATASET_NAMEThis is a minimal usage sketch. Replace DATASET_NAME
with one from the table above.
library(ecotourism)
# List datasets included in the package
utils::data(package = "ecotourism")
# Example workflow (replace DATASET_NAME with a real object from the list)
# data("DATASET_NAME", package = "ecotourism")
# head(DATASET_NAME)
# str(DATASET_NAME)
# Tip: quick summaries if dplyr is available:
# if (requireNamespace("dplyr", quietly = TRUE)) {
# dplyr::glimpse(DATASET_NAME)
# }?ecotourism::DATASET_NAME).Pull requests are welcome! If you’re unsure where to start, open an issue first to discuss changes.
If you use ecotourism in teaching, demos, or research, please cite it:
citation("ecotourism")