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[PRE REVIEW]: linkinglines: Using the Hough Transform to Cluster Line Segments and for Mesoscale Feature Extraction #6007
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Five most similar historical JOSS papers: seg1d: A Python package for Automated segmentation of one-dimensional (1D) data PyClustering: Data Mining Library Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience Pyoints: A Python package for point cloud, voxel and raster processing. TessPy: a python package for geographical tessellation |
Hi @aikubo and thanks for your submission! I saw the note you submitted with the paper — was your code reviewed as part of the review process for this previously-published paper: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GC010842? |
Hello @kthyng, my code was not reviewed as part of the review process. |
Ok great, that shouldn't be a problem then. @hugoledoux Are you interested in editing this submission? |
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@hugoledoux What do you think? |
oh I completely missed that mention last month, apologies! Yes I can do this 👍 |
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Assigned! @hugoledoux is now the editor |
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OK, I've started the review over in #6147. |
Submitting author: @aikubo (Allison Kubo Hutchison)
Repository: https://github.com/aikubo/LinkingLines
Branch with paper.md (empty if default branch):
Version: v.2.1.0
Editor: @hugoledoux
Reviewers: @evetion, @nialov
Managing EiC: Kristen Thyng
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