A spacial boxcount algorithm is proposed, which encodes incoming data into scaled down version of itself at diffrent scales discribing spacial resolved complexity and heterogenity.
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Updated
Jun 15, 2022 - Jupyter Notebook
A spacial boxcount algorithm is proposed, which encodes incoming data into scaled down version of itself at diffrent scales discribing spacial resolved complexity and heterogenity.
Multiple command line utilities for working with tree point clouds, e.g. for computing the boxcounting dimension from point cloud data
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