[PRE REVIEW]: PointClouds.jl: Fast & flexible processing of lidar data

[editorialbot]

Submitting author: @mfsch (Manuel F. Schmid)
Repository: https://github.com/efpl-columbia/PointClouds.jl
Branch with paper.md (empty if default branch): joss
Version: v0.4.0
Editor: Pending
Reviewers: Pending
Managing EiC: Kristen Thyng

Status

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.04 s (826.9 files/s, 145369.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Julia                           21            608            983           3205
Markdown                         8            243              0            773
YAML                             2              4              0             57
TeX                              1              5              0             49
TOML                             2              4              0             46
-------------------------------------------------------------------------------
SUM:                            34            864            983           4130
-------------------------------------------------------------------------------

Commit count by author:

    68	Manuel F. Schmid

[editorialbot]

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

✅ OK DOIs

- 10.1137/141000671 is OK
- 10.1016/j.cageo.2020.104680 is OK
- 10.5281/zenodo.2616780 is OK
- 10.1016/j.rse.2020.112061 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Automated processing of LiDAR data for high-fideli...
- No DOI given, and none found for title: Automated processing of LiDAR data for high-fideli...

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1800

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

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[kthyng]

Hi @mfsch and thanks for your submission! I am looking for some specific items to make sure your submission fits our requirements at a high level (not at the more detailed review level) before moving on to finding an editor or putting this on our waitlist if no relevant editors are available. I'll comment over time as I have a chance to go through them:

• OSI-approved license
• Installation instructions
• Documentation exists at all
• Tests of some sort
• Check paper (make sure compiles, read through, check for length 250-1000 words)
• Substantial scholarly effort
• Clear research application

In the meantime, please take a look at the comments above ⬆️ from the editorialbot to address any DOI, license, or paper issues if you're able (there may not be any), or suggest reviewers. For reviewers, please suggest 5 reviewers from the database listed above or your own (non-conflicted) extended network. Their github handles are most useful to receive but please don't use "@" to reference them since it will prematurely ping them.

[kthyng]

@mfsch

• Please reduce to length of your paper to up to about 1000 words. Paper format information here: https://joss.readthedocs.io/en/latest/paper.html. You can check paper length (and a few other items) with the command @editorialbot check repository though note it needs to be the first item in a comment to run correctly.