Mahalanobis distances for ecological niche modelling and outlier detection: implications of sample size, error, and bias for selecting and parameterising a multivariate location and scatter method
The Mahalanobis distance is a statistical technique that has been used in statistics and data science for data classification and outlier detection, and in ecology to quantify species-environment relationships in habitat and ecological niche models. Mahalanobis distances are based on the location an...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2021-05-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/11436.pdf |