The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models
Abstract
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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Cites
The importance of correcting for sampling bias in MaxEnt species distribution models
Kramer‐Schadt, S., Niedballa, J., Pilgrim, J. D., Schröder, B., Lindenborn, J., Reinfelder, V., Stillfried, M., Heckmann, I., Scharf, A. K., Augeri, D. M., et al. (2013) · Diversity and Distributions · doi:10.1111/ddi.12096 · Cited by 1,321
Varela, S., Anderson, R. P., García‐Valdés, R., & Fernández‐González, F. (2014) · Ecography · doi:10.1111/j.1600-0587.2013.00441.x · Cited by 433
Self-citation
Cited by
Opening the black box: an open‐source release of Maxent
Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E., & Blair, M. E. (2017) · Ecography · doi:10.1111/ecog.03049 · Cited by 2,729
Self-citationFourcade, Y., Besnard, A. G., & Secondi, J. (2018) · Global Ecology and Biogeography · doi:10.1111/geb.12684 · Cited by 500
Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling
Sillero, N., Arenas-Castro, S., Enriquez‐Urzelai, U., Vale, C. G., Sousa-Guedes, D., Martínez-Freiría, F., Real, R., & Barbosa, A. M. (2021) · Ecological Modelling · doi:10.1016/j.ecolmodel.2021.109671 · Cited by 456
A checklist for maximizing reproducibility of ecological niche models
Feng, X., Park, D. S., Walker, C., Peterson, A. T., Merow, C., & Papeş, M. (2019) · Nature Ecology & Evolution · doi:10.1038/s41559-019-0972-5 · Cited by 323
The global distribution of known and undiscovered ant biodiversity
Kass, J. M., Guénard, B., Dudley, K. L., Jenkins, C. N., Azuma, F., Fisher, B. L., Parr, C. L., Gibb, H., Longino, J. T., Ward, P. S., et al. (2022) · Science Advances · doi:10.1126/sciadv.abp9908 · Cited by 194
Metadata
- Authors
- Aiello‐Lammens, M. E., Boria, R. A., Radosavljevic, A., Vilela, B., & Anderson, R. P.
- Venue
- Ecography
- Publisher
- Wiley
- Published
- 2015-02-06
- Volume
- 38
- Issue
- 5
- Pages
- 541-545
- ISSN
- 0906-7590 (ISSN-L)
- 1600-0587
- OpenAlex
- W1969126720
- Cited by
- 2,350
- References
- 2
- FWCI
- 19.06
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
