mcvoronoi

Computing voronoi areas using monte carlo simulation

Prerequisites (required modules)

• python_requires='>=3.6'

$ python3 --version 

If not installed, visit official site for python here and download the latest version of Python.

• numpy

$ pip3 install numpy

• sklearn

$ pip3 install sklearn

• matplotlib

$ pip3 install matplotlib

Installation

$ pip3 install mcvoronoi

• in main.py file example code to use the module:

import numpy as np
import mcvoronoi 


points = np.random.rand(10, 2)  # a numpy array of 10 input co-ordinates
lat_lon_area, mean_percentage_error = mcvoronoi.voronoi_area(points, voronoi_plot_enabled=True, NUM_COLORS=5)

Parameters to the function

Returned values

Credits

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to add/change.

License

MIT

Output plots

mean_errors_plot vornoi_colored_areas