Ocetrac: A Python package to track the spatiotemporal evolution of marine heatwaves #49
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Submitting Author: Hillary Scannell (@hscannell)
Package Name: Ocetrac
One-Line Description of Package: Ocetrac is a python package to detect and track the spatiotemporal evolution of marine heatwaves.
Repository Link: https://github.com/ocetrac/ocetrac
Version submitted: 0.1.4
Editor: TBD
Reviewer 1: TBD
Reviewer 2: TBD
Archive: TBD
Version accepted: TBD
Description
Ocetrac is an analysis routine and data processing tool used to extract the spatial trajectories of marine heatwaves (MHW) over time. It utilizes both morphological image processing and multiple object tracking to provide a new set metrics including event size, location, intensity, and duration. We anticipate that these metrics will be incorporated into machine learning forecasts to predict when and where MHWs are likely to occur, with the intent for operational use in warning vulnerable coastal communities of physical risk. While the motivation behind developing Ocetrac was to study MHWs, the algorithm could be applied to track any geographically coherent spatiotemporal anomaly.
Scope
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Explain how the and why the package falls under these categories (briefly, 1-2 sentences):
Ocetrac analyzes the spatiotemporal connectivity amongst geospatial anomalies. In doing so, it makes use of common morphological operations borrowed from multidimensional image processing.
Who is the target audience and what are scientific applications of this package?
The target audiences are data analysts and physical scientists charged with understanding the spatiotemporal evolution of anomalous events.
Are there other Python packages that accomplish the same thing? If so, how does yours differ?
To our knowledge, there is no other Python package that achieves the goals of Ocetrac.
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