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The model expects as inputs time independent and/or dependent variables that describe the state of a given fluid. These may be measured quantities or the predictions of an analytical or numerical model. Using these, the model computes Lagrangian trajectories for particles released into the fluid at a particular point in time and space. The model is primarily aimed at marine applications, but is intended to be versatile enough to be extended to other contexts; for example, studies of atmospheric dispersion.\n\nPyLag was created with the aim to make available a particle tracking model that is a) fast to run, b) easy to use, c) extensible and d) flexible. The model is written in a mixture of [Python](http://www.python.org) and [Cython](http://www.cython.org).\n\n## How to cite\n\nUncles, R. J., Clark, J. R., Bedington, M., Torres, R. 2020. “On sediment dispersal in the Whitsand Bay Marine Conservation Zone: Neighbor to a closed dredge-spoil disposal site” in Marine Protected Areas: Evidence, Policy and Practise, ed Robert Clark and John Humphreys (Elsevier Inc.).\n\n## Getting started\n\nFull installations instructions and tutorial examples can be found in [PyLag's documentation](https://pylag.readthedocs.io/en/latest/).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpmlmodelling%2Fpylag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpmlmodelling%2Fpylag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpmlmodelling%2Fpylag/lists"}