Where raster data cubes refer to data cubes with raster (x- and y-, or lon- and lat-) dimensions, vector data cubes are n-D arrays that have (at least) a single spatial dimension that maps to a set of (2-D) vector geometries. (Edzer Pebesma)
Xvec combines Xarray n-D arrays and shapely 2 planar vector geometries to create a support for vector data cubes in Python. See this post by Edzer Pebesma on an introduction of the concept or the introduction of their implementation in Xvec in our documentation.
The project is in the early stage of development and its API may still change.
You can install Xvec from PyPI using pip or from conda-forge using mamba or conda:
pip install xvecOr (recommended):
mamba install xvec -c conda-forgeThe development version can be installed from GitHub.
pip install git+https://github.com/xarray-contrib/xvec.gitWe recommend installing its dependencies using mamba or conda before.
mamba install xarray shapely pyproj -c conda-forge