Software repository
Paper review
Download paper
Software archive
Review
Editor: @philipcardiff (all papers)
Reviewers: @nolankucd (all reviews), @MatthewFlamm (all reviews), @ctdegroot (all reviews)
Authors
Pietro Sperotto (0000-0001-9412-0828), M. Ratz (0009-0008-8491-8367), M. A. Mendez (0000-0002-1115-2187)
Citation
Sperotto et al., (2024). SPICY: a Python toolbox for meshless assimilation from image velocimetry using radial basis functions. Journal of Open Source Software, 9(93), 5749, https://doi.org/10.21105/joss.05749
@article{Sperotto2024,
doi = {10.21105/joss.05749},
url = {https://doi.org/10.21105/joss.05749},
year = {2024},
publisher = {The Open Journal},
volume = {9},
number = {93},
pages = {5749},
author = {Pietro Sperotto and M. Ratz and M. A. Mendez},
title = {SPICY: a Python toolbox for meshless assimilation from image velocimetry using radial basis functions},
journal = {Journal of Open Source Software}
}
Tags
Python Radial Basis Functions Super resolution in Image Velocimetry Data Assimilation in Image Velocimetry Poisson Equation
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
