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infinitylists: A Shiny application and R package for rapid generation of place-based species checklists
Thomas Mesaglio1,2,3, Fonti Kar1, Hervé Sauquet1,3
1Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences UNSW Sydney Sydney New South Wales Australia.
Infinitylists is a new R package and web tool that generates species checklists for specific taxa and geographic areas. It efficiently processes large biodiversity datasets to aid ecologists and naturalists.
Area of Science:
- Biodiversity science
- Ecology
- Bioinformatics
Background:
- Generating species checklists for specific taxa and geographic areas is crucial for biodiversity research.
- Large online biodiversity databases contain billions of occurrence records but can be challenging to process quickly due to dataset size.
- Existing tools often face limitations when handling massive biodiversity datasets.
Purpose of the Study:
- To introduce infinitylists, a Shiny application and R package designed for efficient species checklist generation.
- To provide a user-friendly tool for querying biodiversity data for specified taxa and spatial areas.
- To facilitate ecological fieldwork and natural history research.
Main Methods:
- infinitylists utilizes taxon-country datasets downloaded from biodiversity data providers.
- It employs an open-source, column-oriented data file format for rapid data retrieval and visualization.
- The application is available as a mobile-friendly web tool and an R package for local use.
Main Results:
- infinitylists enables users to generate species checklists for user-specified taxa and areas.
- The tool efficiently handles large biodiversity datasets, overcoming limitations of general-purpose software.
- It offers fast data retrieval and visualization capabilities.
Conclusions:
- infinitylists is a valuable and easy-to-use tool for ecologists and naturalists worldwide.
- Applications include supplementing existing survey data, planning field expeditions, and identifying biodiversity data gaps.
- It serves as a complementary resource to existing biodiversity databases.
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