Ocetrac documentation =================================== .. toctree:: :maxdepth: 2 :caption: Contents: .. image:: https://github.com/ocetrac/ocetrac/workflows/Tests/badge.svg :target: https://github.com/ocetrac/ocetrac/actions .. image:: https://codecov.io/gh/ocetrac/ocetrac/branch/main/graph/badge.svg :target: https://codecov.io/gh/ocetrac/ocetrac .. image:: https://img.shields.io/badge/License-MIT-lightgray.svg?style=flat-square :target: https://opensource.org/licenses/MIT .. image:: https://img.shields.io/pypi/v/ocetrac.svg :target: https://pypi.org/project/ocetrac .. image:: https://img.shields.io/conda/dn/conda-forge/ocetrac?label=conda-forge :target: https://anaconda.org/conda-forge/ocetrac .. image:: https://readthedocs.org/projects/ocetrac/badge/?version=latest :target: https://ocetrac.readthedocs.io/en/latest/?badge=latest .. raw:: html
Welcome to the documentation of Ocetrac! **Ocetrac** is a Python toolkit for labelling and tracking the evolution of geospatial features in gridded datasets. It is designed to operate lazily using Dask, enabling memory-efficient and parallelised compuation on large datasets. Ocetrac provides two core tracking algorithms: - **SurfTrack** — surface features with dimensions ``(time, lat, lon)`` - **DeepTrack** — subsurface volumetric features with dimensions ``(time, depth, lat, lon)`` .. raw:: html .. raw:: html