Thin data spatiotemporally
Project description
thinst: Thin data spatiotemporally
Description
Thin datapoints spatiotemporally, spatially, or temporally.
Spatiotemporal thinning will remove datapoints so that no two datapoints are within a given spatial threshold and
within a given temporal threshold of each other. Accordingly, two datapoints may overlap spatially, provided that they
do not overlap temporally, and vice versa.
Spatial thinning will remove datapoints so that no two datapoints are within a given spatial threshold of each
other.
Temporal thinning will remove datapoints so that no two datapoints are within a given temporal threshold of each
other.
Thinning is set up to retain the maximum number of datapoints.
Thinning (whether it is spatiotemporal, spatial, or temporal) is conducted with the thinst function.
Simple plots of datapoints are also included within the plots module.
Installation
pip install thinst
Example usage
An exemplar illustrating how to use thinst is available on GitHub at:
https://github.com/JSBigelow/thinst/blob/main/exemplar.ipynb
License
MIT
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