Spatially-explicit estimation of geographical representation in large-scale species distribution datasets.
Much ecological research relies on existing multispecies distribution datasets. Such datasets, however, can vary considerably in quality, extent, resolution or taxonomic coverage. We provide a framework for a spatially-explicit evaluation of geographical representation within large-scale species dis...
Main Authors: | Jesse M Kalwij, Mark P Robertson, Argo Ronk, Martin Zobel, Meelis Pärtel |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3893194?pdf=render |
Similar Items
-
Correction: Spatially-Explicit Estimation of Geographical Representation in Large-Scale Species Distribution Datasets
Published: (2014-01-01) -
Widespread homogenization of plant communities in the Anthropocene
by: Barnabas H. Daru, et al.
Published: (2021-12-01) -
Decomposing dark diversity affinities of species and sites using Bayesian method: What accounts for absences of species at suitable sites?
by: Junichi Fujinuma, et al.
Published: (2023-07-01) -
A spatially-explicit harmonized global dataset of critical infrastructure
by: Sadhana Nirandjan, et al.
Published: (2022-04-01) -
Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning
by: Barnaby E. Walker, et al.
Published: (2022-01-01)