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[GSoC Project Proposal]: phytoclass for the masses #90
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@7yl4r Thanks! Could you submit a PR against our ideas list to officially add these new projects: https://github.com/ioos/gsoc/blob/main/2025/ideas-list.md. The GSoC review may have already happened, but it can't hurt to add a few more ideas before they officially announce accepted orgs on 2/27. |
Hi @7yl4r , Thank you for organizing this project and providing an opportunity to contribute via GSoC. I’m interested in improving phytoclass and had a few questions:
I look forward to hearing from you. Thank you for your time. |
Great question! I've added a section to the README to address this.
The open issues on the phytoclass repo list some of the errors, but some of the work in this project will be identifying errors by testing with different datasets.
There is a monthly phytoclass working group (with 3 regular attendees) that are working to figure this out.
Different regions have different phytoplankton species. Adding in this information will improve estimation accuracy significantly. phytoclass's current customization features can do this, but it is difficult. The goal would be to make this feature easier to use by modifying the API functions.
The issues listed in the repository are stale. First steps of this project will be narrowing scope and creating some issues. It is not expected that all of the things above will be addressed. Choose one or two that are most interesting to you. I'm happy to answer more questions here or over email ([email protected]) |
Thank you for your reply @7yl4r. I will communicate with you via email. |
Project Description
Researchers collect water-pigment data using High-Performance Liquid Chromatography (HPLC) throughout the globe. Among the uses of this data is the ability to estimate phytoplankton abundance. A powerful program for this analysis has been CHEMTAX, but recently a new R package, phytoclass, has emerged with improved functionality.
This project will improve usability and accuracy of phytoclass.
Expected Outcomes
Suggested improvements to the phytoclass ecosystem include:
Skills Required
R. R+Shiny.
Additional Background/Issues
Mentor(s)
@7yl4r, @alexanderhayward1995
Mentor Contact Email(s)
[email protected]
Expected Project Size
90 hours
Project Difficulty
Intermediate
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