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[PRE REVIEW]: PyForestScan: A Python Library for Calculating Forest Structural Metrics from LiDAR Point Cloud Data #7283
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Hi @iosefa 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:
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. |
Hi @kthyng,
❌ MISSING DOIs
I dont know that this is a correct and valid DOI for the leafR package. The package itself requests that it be cited as: citation("leafR")
To cite package ‘leafR’ in publications use:
Almeida D, Stark S, Silva C, Hamamura C, Valbuena R (2021).
_leafR: Calculates the Leaf Area Index (LAD) and Other Related
Functions_. R package version 0.3.5,
<https://CRAN.R-project.org/package=leafR>.
A BibTeX entry for LaTeX users is
@Manual{,
title = {leafR: Calculates the Leaf Area Index (LAD) and Other Related Functions},
author = {Danilo Roberti Alves de Almeida and Scott Christopher Stark and Carlos Alberto Silva and Caio Hamamura and Ruben Valbuena},
year = {2021},
note = {R package version 0.3.5},
url = {https://CRAN.R-project.org/package=leafR},
} And this is how it is cited in our manuscript. Is it okay to leave it as is without any specific reply to the editor bot? Many thanks, |
Yes go ahead.
Sometimes the DOIs are incorrect. If you checked and know better, that is fine. You'll want to let your topic editor know this later, too. |
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@kthyng
I will work these in. I assume it is okay to commit directly to the branch with the paper? |
Ok. We have fixed the parenthetical and inline references and also checked capitalization on all references in the text. That should be fixed now. We have also added a few figures to the readthedocs for illustrative purposes. There is also a simple example in a jupyter notebook that serves as a tutorial here: https://github.com/iosefa/PyForestScan/blob/main/notebooks/demo.ipynb |
@iosefa Thank you! The high level checks are complete. We have a backlog of submissions so I will add this to our waitlist. Thanks for your patience. |
@mengqi-z Could you edit this submission? |
@editorialbot invite @mengqi-z as editor |
Invitation to edit this submission sent! |
@editorialbot assign me as editor |
Assigned! @mengqi-z is now the editor |
Hi @iosefa, I will be the handling editor of your submission. While I work on finding reviewers, could you also suggest five potential reviewers? Please list their GitHub names in this thread without tagging them. Thank you! |
👋 @giswqs @npucino @ebocher - Would any of you be available to review a submission for JOSS? Given your background, I believe you'd be a great fit to review this paper. JOSS uses a checklist-driven review process, which you can find here: https://joss.readthedocs.io/en/latest/review_criteria.html If you're unable to review, any recommendations for other potential reviewers with relevant expertise would also be greatly appreciated. Thank you! |
Absolutely, I will be happy to review it, thanks for the consideration .
Nick
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Subject: Re: [openjournals/joss-reviews] [PRE REVIEW]: PyForestScan: A Python Library for Calculating Forest Structural Metrics from LiDAR Point Cloud Data (Issue #7283)
👋 @giswqs<https://github.com/giswqs> @npucino<https://github.com/npucino> @ebocher<https://github.com/ebocher> - Would any of you be available to review a submission for JOSS? Given your background, I believe you'd be a great fit to review this paper.
JOSS uses a checklist-driven review process, which you can find here: https://joss.readthedocs.io/en/latest/review_criteria.html
If you're unable to review, any recommendations for other potential reviewers with relevant expertise would also be greatly appreciated. Thank you!
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@npucino - Thanks for your quick response and your willingness to review the paper! |
@editorialbot add @npucino as reviewer |
@npucino added to the reviewers list! |
@mengqi-z Yes, I would be happy to review it. |
@giswqs - Perfect! Thank you for taking on this review! |
@editorialbot add @giswqs as reviewer |
@giswqs added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #7314. |
Hi @mengqi-z |
@iosefa - We've secured two reviewers, so there's no need to provide additional suggestions. Thanks for following up! |
Submitting author: @iosefa (Joseph Emile Honour Percival)
Repository: https://github.com/iosefa/PyForestScan
Branch with paper.md (empty if default branch): docs/joss-paper
Version: v0.1.6
Editor: @mengqi-z
Reviewers: @npucino, @giswqs
Managing EiC: Kristen Thyng
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