maxvol-dataset-variability

Repository for paper "Maximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation"

Description

Google Colab

How to run example of MaxVol soil-sampling based on environmental features?

Open How_to_start.ipynb in Google Colab!

To plot results of comparison of MaxVol, cLHS and Simple Random Sampling open Plots.ipynb

Dependencies

maxvolpy - MaxVol python

https://pypi.org/project/maxvolpy/

Whitebox-tools - advanced geospatial data analysis

https://jblindsay.github.io/wbt_book/intro.html

Installation

Clone this repository and create new env on your local machine

https://github.com/petrovskaia/maxvol-dataset-variability

Create new env with gdal package for MaxVol

python -m venv maxvol

Activate it

source venv/bin/maxvol

Usage example

To run MaxVol soil sampling based on test DEM, terrain features and NDVI:

$bash run_maxvol.sh --path_to_file ./DEM_files/dem.tif --path_to_output ./terrain --number_of_points 15

Meta

Anna Petrovskaia - [email protected] Mikhail Gasanov – [email protected]

License

Distributed under the MIT license. See LICENSE for more information.

Contributing

1. Fork it (https://github.com/petrovskaia/maxvol-dataset-variability/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request