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[REVIEW]: PAM: Population Activity Modeller #6097
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Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks. For a list of things I can do to help you, just type:
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👋🏼 @fredshone, @jamesdamillington, @martibosch this is the review thread for the paper. All of our communications will happen here from now on. All reviewers should create checklists with the JOSS requirements using the command The JOSS review is different from most other journals. Our goal is to work with the authors to help them meet our criteria instead of merely passing judgment on the submission. As such, the reviewers are encouraged to submit issues (and small pull requests if needed) on the software repository. When doing so, please mention As agreed, I expected that the review will take a bit longer than usual, aiming at January. Please let me know if any of you require significantly more time at any point. We can also use Please feel free to ping me (@martinfleis) if you have any questions/concerns. Thanks! |
Hi @jamesdamillington, @martibosch, just a minor reminder that this review is ongoing. We agreed to target end of January so there's still a bit of time but wanted to ensure it won't slip of your radar. Thanks! |
Review checklist for @jamesdamillingtonConflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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I have now reviewed this. It looks very good and as shown by the checklist I am happy it meets all the criteria and could be accepted. The tool works as expected and from the examples I have explored I believe the functional claims are supported. One minor point (regarding the paper, not the code or implementation, so I will make it here) is that Figure 1 is not referenced in the main text nor is it explained anywhere I can see (neither the paper nor in the documentation). The figure is an illustration to the text, to demonstrate some point made in the text etc., so should be referenced. Furthermore, while the figure may be self-explanatory to the authors but it may not be to the reader. For example, I am not clear what the diagonal shading between work and shop for Persons A and B means. I assume A and B work at the same location given the brown/pink shading but I don't understand the diagonal connections. I think some general description of Figure 1 plus maybe explanation of this point would be useful (in the paper at least, but then maybe also copy the text where the Figure appears in documentation). |
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Thanks for editing as suggested @fredshone Looks good. |
@jamesdamillington many thanks 🙏🏻. I added a reference for the offending figure in the text and some explanation to the caption. It is a rather abstract representation of a complex data structure - please let me know if you'd like the figure reworked or removed. |
Hey @martibosch, could you give us an estimation of when you'd be able to start? I know you mentioned you are a bit swamped but wanted to ensure we'll be able to do the review in a timely manner. Thanks! @jamesdamillington Thanks a lot! |
@editorialbot remind @martibosch in one week |
Reminder set for @martibosch in one week |
👋 @martibosch, please update us on how your review is going (this is an automated reminder). |
Just FYI, I had a short email exchange with @martibosch who needs a bit more time for the review. |
Review checklist for @martiboschConflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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Hello, first of all sorry for the delay in my review. Here we go: This is a super solid package which provides a super friendly/Pythonic interface for population activity modeling. A few years ago I was interested in activity-based population synthesis to model the impacts of the spatial organization of urban areas on travel behaviour, but I was overwhelmed due to the lack of existing Python tools. I think this library could have changed that. I like that there are so many notebooks and that they provide a great overview of the functionalities - again, I find the library code very intuitive and the notebooks are very easy to follow. Regarding the library itself, I would only like to raise three points:
Finally, I have some manuscript corrections:
Martí |
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Thank you for the thorough review @martibosch. The revisions in the above paper should address your manuscript corrections:
Regarding the project:
Many thanks! |
@editorialbot accept |
I'm sorry @fredshone, I'm afraid I can't do that. That's something only eics are allowed to do. |
(pdf and xml look correct) |
@fredshone can you change the reference to be without the double brackets here please:
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see: arup-group/pam#273 |
@oliviaguest merged (thanks for the PR!) |
@editorialbot generate pdf |
@fredshone sorry, I should have clarified! That was one, but you have more. Can you check and edit them, please? |
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@oliviaguest my bad - too excited to get a PR 🥇 - I found one other (Shone & Kozlowska) which is fixed. Otherwise we make extensive use of refs in brackets... please let me know if not ok. |
@fredshone looks beautiful |
@editorialbot recommend-accept |
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👋 @openjournals/sbcs-eics, this paper is ready to be accepted and published. Check final proof 👉📄 Download article If the paper PDF and the deposit XML files look good in openjournals/joss-papers#5265, then you can now move forward with accepting the submission by compiling again with the command |
@editorialbot accept |
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🐘🐘🐘 👉 Toot for this paper 👈 🐘🐘🐘 |
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thank you all 🥳 |
Huge thanks to the reviewers and editor, @martinfleis, @jamesdamillington, @martibosch! ✨ JOSS appreciates your work and effort. ✨ Also, big congratulations to the authors @fredshone! 🥳 🍾 |
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Submitting author: @fredshone (Fred Shone)
Repository: https://github.com/arup-group/pam
Branch with paper.md (empty if default branch): joss
Version: v0.3.2
Editor: @martinfleis
Reviewers: @jamesdamillington, @martibosch
Archive: 10.5281/zenodo.10948231
Status
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Reviewers and authors:
Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)
Reviewer instructions & questions
@jamesdamillington & @martibosch, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
First of all you need to run this command in a separate comment to create the checklist:
The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @martinfleis know.
✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨
Checklists
📝 Checklist for @jamesdamillington
📝 Checklist for @martibosch
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