PaRaVis: an automatic Python graphical package for ensemble analysis of plant beta diversity using remote sensing proxies

The 'PaRaVis' is designed to streamline the extraction of Rao's Q index from diverse vegetation indices (VIs) derived from remote sensing datasets. The tool is organized into three distinct sections. The first one focuses on extracting, visualizing, and allowing users to select from 75 indices. The second part is dedicated to calculating Rao’s Q index in parallel, for both unidimensional and multidimensional modes, utilizing various distance metrics. The last section is tailored to assist users in comprehensively visualizing and analyzing Rao’s Q index outputs through various plots and visualization tools.

__v1.0.1__

• Resolved several bugs.
• Enhanced the functionality of the heatmap func.
• Added to the PyPI repository.