Year: 2025
Type: article
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.
Source: Methods in Ecology and Evolution
Institutions: University of Hawaiʻi at Mānoa, Hawaii Institute of Marine Biology, University of Lisbon, University of St Andrews, NOAA National Marine Fisheries Service, National Oceanic and Atmospheric Administration, NOAA National Marine Fisheries Service Pacific Islands Fisheries Science Center, Cooperative Institute for Marine and Atmospheric Research, Macquarie University
Language: English
Topic: Data Analysis with R
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,500
OpenAlex ID: W4409225786