Statistical inference methods for n‐dimensional hypervolumes: Applications to niches and functional diversity
Abstract The size and shape of niche spaces or trait spaces are often analysed using hypervolumes estimated from data. The hypervolume R package has previously supported such analyses via descriptive but not inferential statistics. This gap has limited the use of hypothesis testing and confidence in...
Main Authors: | Daniel Chen, Alex Laini, Benjamin Wong Blonder |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-04-01
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Series: | Methods in Ecology and Evolution |
Subjects: | |
Online Access: | https://doi.org/10.1111/2041-210X.14310 |
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