<i>habtools</i> : An R package to calculate <scp>3D</scp> metrics for surfaces and objects
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 introduce habtools , 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 of habtools to continue to expand as new metrics and faster methods become available, and we welcome new contributions and ideas.
Authors
- Nina M. D. Schiettekatte (ORCID: https://orcid.org/0000-0002-1925-3484)
- Joshua S. Madin (ORCID: https://orcid.org/0000-0002-5005-6227)
- María Dornelas (ORCID: https://orcid.org/0000-0003-2077-7055)
- Guanyan Keelung Chen (ORCID: https://orcid.org/0000-0002-7078-1522)
- Mollie Asbury (ORCID: https://orcid.org/0000-0002-0254-6571)
- Damaris Torres‐Pulliza (ORCID: https://orcid.org/0000-0002-2594-197X)
- Jessica Reichert (ORCID: https://orcid.org/0000-0003-2245-4188)
- Kyle Zawada (ORCID: https://orcid.org/0000-0002-4587-8138)
Institutions
- NOAA National Marine Fisheries Service (US)
- University of Hawaiʻi at Mānoa (US)
- National Oceanic and Atmospheric Administration (US)
- University of Hawaii System (US)
- University of Lisbon (PT)
- University of St Andrews (GB)
- NOAA National Marine Fisheries Service Pacific Islands Fisheries Science Center (US)
- Macquarie University (AU)
Publication Details
- Journal
- Methods in Ecology and Evolution
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1111/2041-210x.70027
- Citations
- 9
- Primary Topic
- Forest ecology and management
- Type
- article
- Field-Weighted Citation Impact
- 18.51
Funders
- Natural Environment Research Council