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bRacatus: A method to estimate the accuracy and biogeographical status of georeferenced biological data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A85816" target="_blank" >RIV/60460709:41330/21:85816 - isvavai.cz</a>

  • Result on the web

    <a href="https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13629" target="_blank" >https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13629</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/2041-210X.13629" target="_blank" >10.1111/2041-210X.13629</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    bRacatus: A method to estimate the accuracy and biogeographical status of georeferenced biological data

  • Original language description

    (1) Georeferenced biological data of species distributions, abundances or traits are critical for ecological and evolutionary research. However, the accuracy (true vs. false records) and biogeographical status (native vs. alien) of individual georeferenced records are often unclear, which limits their use in species distribution modelling, analyses of biodiversity change and other applications. (2) Here, we introduced bRacatus, a new method and R package to estimate a given georeferenced records probability of being true or false and of corresponding to a native or an alien occurrence. Our framework avoided artificial thresholds of data filtering and instead implemented a probabilistic framework which allowed propagating uncertainties in subsequent analyses. We trained and tested our method on 400 terrestrial species of amphibians, birds, terrestrial mammals and vascular plants from four continents. (3) bRacatus showed good predictive power (mean AUC higher than 0,9, mean RMSE lower than 0,3) for bot

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Methods in Ecology and Evolution

  • ISSN

    2041-210X

  • e-ISSN

    2041-2096

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    1609-1619

  • UT code for WoS article

    000656355900001

  • EID of the result in the Scopus database

    2-s2.0-85107272430