Skip to main content

HSC3D: a Python package to quantify three-dimensional habitat structural complexity

Project description

HSC3D

HSC3D: a Python package to quantify three-dimensional habitat structural complexity

Package workflow

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

Youtube video

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

HSC3D-0.2.4.tar.gz (15.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

HSC3D-0.2.4-py3-none-any.whl (14.4 kB view details)

Uploaded Python 3

File details

Details for the file HSC3D-0.2.4.tar.gz.

File metadata

  • Download URL: HSC3D-0.2.4.tar.gz
  • Upload date:
  • Size: 15.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.13

File hashes

Hashes for HSC3D-0.2.4.tar.gz
Algorithm Hash digest
SHA256 7871fce2ca54d452ffbf1adbcce31296f6ba7bc8fc76c91a9ff4a143c4190968
MD5 799b81c820e833177b913be701bd72de
BLAKE2b-256 77bfcabd119e1211475dc0af6f37486a2bcdea0a0315ef3b477f61ad9e938efc

See more details on using hashes here.

File details

Details for the file HSC3D-0.2.4-py3-none-any.whl.

File metadata

  • Download URL: HSC3D-0.2.4-py3-none-any.whl
  • Upload date:
  • Size: 14.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.13

File hashes

Hashes for HSC3D-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 dc3016e568eef846a5dd0d4b527b7dab06967ed8d2f51113e8744cc4f078aa3d
MD5 08d9b385ff5134b61a31c5c55545e340
BLAKE2b-256 3ec76033b50ce7676ded93c26206a532df53dea2d62baceb9c6fcccac513a93a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page