HSC3D
HSC3D: a Python package to quantify three-dimensional habitat structural complexity
Package workflow
Setup environment
Install Anaconda or miniconda to your device. See more information at this link.
# choose your own virtual environment name
conda create -n hsc3d_test python=3.10 -y
conda activate hsc3d_test
Installation
pip install HSC3D
Usage
See sample_usage.ipynb for a quick start.
Demo case study point cloud data
Citation
Please cite the following paper if you use HSC3D in your research:
Gu, Y.-F., Hu, J., Han, K., Lau, J. W. T., & Williams, G. A. (2024).
HSC3D: A Python package to quantify three-dimensional habitat structural complexity.
Methods in Ecology and Evolution, 00, 1–8.
https://doi.org/10.1111/2041-210X.14305
License
Creative Commons Attribution-NonCommercial License
1 maintainer
Metadata
1 maintainer
Release files for HSC3D 0.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| HSC3D-0.2.4.tar.gz | 15.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| HSC3D-0.2.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.1 kB
Release files / HSC3D-0.2.4.tar.gz
| Download URL | HSC3D-0.2.4.tar.gz |
|---|---|
| Size | 15.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.10.13
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Release files / HSC3D-0.2.4-py3-none-any.whl
| Download URL | HSC3D-0.2.4-py3-none-any.whl |
|---|---|
| Size | 14.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.13
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