Comments (3)
Hi @ninzyfb,
Yeah, this warning is just saying that many of the planning units have no features present within them. In the worse case scenario, this could potentially mean that "important" planning units are not selected in the prioritization, simply because there isn't enough biodiversity data to identify. It can also cause strange patterns in the prioritizations (e.g. see #268, #205). So, this warning is designed to help people recognize when they might not have enough features to generate "biologically" meaningful results, but it could be false positive depending what the prioritization is meant to do (e.g. if you care about rare/endemic species, then it doesn't matter if most of the planning units have no features present within them). If your confident that you've got the correct or enough features for your conservation planning exercise, you can safely ignore this warning. In other words, this warning isn't about the mathematical feasibility of the optimization problem, it's more about ensuring the results are informative (sort out like fitting a statistical model with a low degrees of freedom). Does that help?
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HI jeff, ok great thank you for clarifying, i was worried as usually didnt get this warning but maybe it came with a package updated. It makes sense as my planning area may be slighlty too big considering the extent of the conservaiton features so maybe something to think about for the future.
Thanks!
from prioritizr.
No worries! Ok sounds great.
from prioritizr.
Related Issues (20)
- Overly zealous assert causes spurious failure on problem(), breaking valid prioritizr 7.1.1 scripts HOT 2
- high boundary penalties, but solution has weird hole HOT 1
- Error while solving the problem HOT 10
- package overview manual entry
- Add linear constraints for multiple zones HOT 3
- lexicographic (hierachical) multi-objective optimization HOT 5
- Add max area threshold for zone and dealing with fragmented zones HOT 25
- Improve presolve checks HOT 1
- ℹ In argument to `x`. Caused by `problems(pu, features = multi_layer)` HOT 7
- write_problem() doesn't work
- Categorical `SpatRaster` layers break problem creation HOT 4
- Ph.D. HOT 2
- How should I incorporate a risk layer? Penalty, feature, feature weight? HOT 7
- Add proximity-based metrics for irreplaceability
- Cost in problems with zones HOT 2
- PrioritizR vs. traditional Weighted Overlay (land use planning example) HOT 5
- Optimization Suggestion: Excessive Memory Usage during Processing HOT 7
- Add new vignette to describe "lines" issue HOT 2
- Return the optimality gap of a solution HOT 6
- Invalid error message when using linear penalties/constraints with NA values
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