Thomas Mesaglio, Fonti Kar, Hervé Sauquet, William K. Cornwell
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infinitylists: A Shiny application and R package for rapid generation of place-based species checklists
Premise
Biodiversity researchers often need to answer the question: “Which species of taxon X have been documented in (or near) spatial polygon Y?” Online databases with billions of occurrence records, including vouchered specimens and citizen science records, can provide the answer; however, quick spatial processing of huge biodiversity datasets can be difficult, and many general-purpose tools are constrained by dataset size.
Methods and Results
infinitylists is a Shiny application and R package that allows users to generate species checklists for a user-specified taxon and area. It downloads taxon–country datasets (e.g., Madagascan geckos) from biodiversity data providers and uses an open source, column-oriented data file for fast retrieval and visualization. Available as a mobile-friendly web tool with preloaded data, it can also be run locally in R for very flexible applications.
Conclusions
infinitylists is an easy-to-use tool with applications including supplementing survey data, planning collecting expeditions, and informing gap-filling. infinitylists is a complementary tool to existing databases to help field ecologists and naturalists globally.
期刊介绍：
Applications in Plant Sciences (APPS) is a monthly, peer-reviewed, open access journal promoting the rapid dissemination of newly developed, innovative tools and protocols in all areas of the plant sciences, including genetics, structure, function, development, evolution, systematics, and ecology. Given the rapid progress today in technology and its application in the plant sciences, the goal of APPS is to foster communication within the plant science community to advance scientific research. APPS is a publication of the Botanical Society of America, originating in 2009 as the American Journal of Botany''s online-only section, AJB Primer Notes & Protocols in the Plant Sciences.
APPS publishes the following types of articles: (1) Protocol Notes describe new methods and technological advancements; (2) Genomic Resources Articles characterize the development and demonstrate the usefulness of newly developed genomic resources, including transcriptomes; (3) Software Notes detail new software applications; (4) Application Articles illustrate the application of a new protocol, method, or software application within the context of a larger study; (5) Review Articles evaluate available techniques, methods, or protocols; (6) Primer Notes report novel genetic markers with evidence of wide applicability.
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