[PRE REVIEW]: linkinglines: Using the Hough Transform to Cluster Line Segments and for Mesoscale Feature Extraction

[editorialbot]

Submitting author: !--author-handle-->@aikubo<!--end-author-handle-- (Allison Kubo Hutchison) Repository: https://github.com/aikubo/LinkingLines Branch with paper.md (empty if default branch): Version: v.2.1.0 Editor: !--editor-->@hugoledoux<!--end-editor-- Reviewers: @evetion, @nialov Managing EiC: Kristen Thyng

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=0.10 s (563.6 files/s, 162774.0 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
HTML                             9            500              0           4422
Python                          18           1547           2246           2604
CSS                              6            370             74           1559
SVG                              4            118              2            988
JavaScript                       6            124            188            785
Markdown                         2             75              0            149
reStructuredText                 3             58             66             78
TeX                              1              0              0             64
YAML                             3              8              4             62
Jupyter Notebook                 3            157            632             57
TOML                             2              6              1             40
DOS Batch                        1              8              1             26
make                             1              4              7              9
-------------------------------------------------------------------------------
SUM:                            59           2975           3221          10843
-------------------------------------------------------------------------------

gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 2145

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- None

MISSING DOIs

- 10.1016/0031-3203(81)90009-1 may be a valid DOI for title: Generalizing the Hough transform to detect arbitrary shapes
- 10.25080/majora-92bf1922-00a may be a valid DOI for title: Data structures for statistical computing in python
- 10.22541/essoar.167397469.91853825/v1 may be a valid DOI for title: Multiscale spatial patterns in giant dike swarms identified through objective feature extraction

INVALID DOIs

- None

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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[kthyng]

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?

[aikubo]

Hello @kthyng, my code was not reviewed as part of the review process.

[kthyng]

Ok great, that shouldn't be a problem then.

@hugoledoux Are you interested in editing this submission?

[kthyng]

@editorialbot invite @hugoledoux as editor

[editorialbot]

Invitation to edit this submission sent!

[kthyng]

@hugoledoux What do you think?

[hugoledoux]

oh I completely missed that mention last month, apologies!

Yes I can do this 👍

[hugoledoux]

@editorialbot assign @hugoledoux as editor

[editorialbot]

Assigned! @hugoledoux is now the editor

[hugoledoux]

@editorialbot add @evetion as reviewer

[editorialbot]

@evetion added to the reviewers list!

[hugoledoux]

@editorialbot add @nialov as reviewer

[editorialbot]

@nialov added to the reviewers list!

[hugoledoux]

@editorialbot start review

[editorialbot]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/6147.