spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models

Ecography - Tập 38 Số 5 - Trang 541-545 - 2015
Matthew Aiello‐Lammens1,2, Robert A. Boria3, Aleksandar Radosavljević3, Bruno Vilela4,5, Robert P. Anderson3,6,7
1Dept of Ecology and Evolution Stony Brook Univ. Stony Brook NY 11794 USA
2Dept of Ecology and Evolutionary Biology Univ. of Connecticut Storrs CT 06269 USA
3Dept of Biology City College of the City Univ. of New York New York NY 10031 USA
4Depto de Ciencias de la Vida Univ. de Alcalá ES‐28805 Alcalá de Henares, Madrid Spain
5Depto de Ecologia Inst. de Ciências Biológicas, Univ. Federal de Goiás Goiânia, Goiás Brazil
6Division of Vertebrate Zoology (Mammalogy), American Museum of Natural History, New York, NY 10024, USA
7Graduate Center of the City Univ. of New York New York NY 10016 USA

Tóm tắt

Spatial thinning of species occurrence records can help address problems associated with spatial sampling biases. Ideally, thinning removes the fewest records necessary to substantially reduce the effects of sampling bias, while simultaneously retaining the greatest amount of useful information. Spatial thinning can be done manually; however, this is prohibitively time consuming for large datasets. Using a randomization approach, the ‘thin’ function in the spThin R package returns a dataset with the maximum number of records for a given thinning distance, when run for sufficient iterations. We here provide a worked example for the Caribbean spiny pocket mouse, where the results obtained match those of manual thinning.

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Ecography

Tập 38 Số 5

541-545

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