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Abstract Technological advances in three imaging techniques have opened the door to advanced morphological analyses and habitat mapping for biologists and ecologists.At the same time, the challenge of translating complex 3D data into meaningful metrics that can be used in conjunction with biological data currently hinders progress and accessibility.We introducehabtools, an R package that provides R functions to efficiently calculate complexity and shape metrics from DEMs, 3D meshes and 2D shapes as well as some helper functions to facilitate workflow.We expect the functionality ofhabtoolsto continue to expand as new metrics and faster methods become available, and we welcome new contributions and ideas.
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A word on habitat complexity
Abstract In their recent synopsis, Loke and Chisholm (Ecology Letters, 25, 2269–2288, 2022) present an overview of habitat complexity metrics for ecologists. They provide a review and some sound advice. However, we found several of their analyses and opinions misleading. This technical note provides a different perspective on the complexity metrics assessed.
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- Award ID(s):
- 1948946
- PAR ID:
- 10415605
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- Ecology Letters
- Volume:
- 26
- Issue:
- 6
- ISSN:
- 1461-023X
- Page Range / eLocation ID:
- p. 1021-1024
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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