Where to implement spatial resampling methods
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- Dominant language
- Julia
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Description
In my field (ecology/species distribution modelling) it is very common to use spatial resampling, and I've written some spatial ResamplingStrategys, such as spatial cross-validation, and am considering where to share that code. I'm considering to either:
- Add them to SpeciesDistributionModels.jl (which is still under development)
- Make a separate package that SDM.jl would depend on
- Add them here as an extension to GeometryOps.jl
The problem with the last option is that right now it's not really possible to pass additional information (such as the point location) of data to machine. I'm hacking around this in SDM.jl by calling train_test_pairs directly.
I would like to hear what others think about this?
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Research direction
Review the existing machine and train_test_pairs entry points, then compare how spatial ResamplingStrategies could be shared through SpeciesDistributionModels.jl, a separate package, or a GeometryOps.jl extension. Done means documenting an agreed package location and an interface for passing point locations or other additional data.
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Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100