https://github.com/zmoon/blpd

Lagrangian (stochastic) particle dispersion with Python+Numba to model bees finding floral scents
https://github.com/zmoon/blpd

Last synced: 3 months ago
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Lagrangian (stochastic) particle dispersion with Python+Numba to model bees finding floral scents

• Host: GitHub
• URL: https://github.com/zmoon/blpd
• Owner: zmoon
• License: mit
• Created: 2020-02-26T03:09:51.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2025-11-03T20:37:15.000Z (7 months ago)
• Last Synced: 2025-11-03T22:18:34.846Z (7 months ago)
• Language: Python
• Homepage:
• Size: 1020 KB
• Stars: 7
• Watchers: 2
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

          
# blpd

*Lagrangian (stochastic) particle dispersion with Python+Numba to model bees finding floral scents*

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[![Project Status: Inactive – The project has reached a stable, usable state but is no longer being actively developed; support/maintenance will be provided as time allows.](https://www.repostatus.org/badges/latest/inactive.svg)](https://www.repostatus.org/#inactive)

[pdoc](https://pdoc.dev/) API documentation: 

## Installing

Latest:

```

pip install https://github.com/zmoon/blpd/archive/master.zip

```

### For development

1. Clone the repo

   ```

   git clone https://github.com/zmoon/blpd

   ```

2. Register the package as an editable install, by navigating into the the repo and executing

   ```

   pip install -e .

   ```

#### Notes

:exclamation: An updated version of `pip` (>= 19.0) should be used for the install to ensure that the build backend specified in `pyproject.toml` will be read and used (installed if necessary). Otherwise, the `blpd` package version may not be correctly read into the package metadata.

## References

* K. Pratt's thesis: . The version described there included a simpler treatment of the in-canopy statistics. [Marcelo Chamecki](http://people.atmos.ucla.edu/mchamecki/index.htm) added the Massman & Weil (1999) model to enhance the canopy treatment. The LPD code (module `blpd.lpd`) is based on a version of Pratt's model written in Matlab.

* Massman & Weil (1999): 

* Fuentes et al. (2016):