HSC3D: A Python package to quantify three‐dimensional habitat structural complexity

HSC3D: A Python package to quantify three‐dimensional habitat structural complexity

Abstract Habitat structural complexity (HSC) is a key variable to help interpret ecological patterns and processes among different ecosystems. Existing metrics used to quantify HSC often, however, result in insufficient or biased representation of structural complexity. As such, our understanding of...

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Bibliographic Details
Main Authors: Yi‐Fei Gu, Jiamian Hu, Kai Han, Jackson W. T. Lau, Gray A. Williams
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Methods in Ecology and Evolution
Subjects:
computer vision
differential geometry
Gaussian mixture model
habitat structural complexity
photogrammetry point cloud
singular value decomposition
Online Access:https://doi.org/10.1111/2041-210X.14305

Internet

https://doi.org/10.1111/2041-210X.14305

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