Addressing a Problem?
When SuitabilityCriteria with indicators with different dimensions are provided to LandSuitabilityAnalysis, the computation of the suitability with the latter leads to weird outputs without warnings.
For example, in the figure below the variable on plotted on the left has a lower spatial resolution than the one on the right:
Potential Solution
It would be great if LSAPy could handle this, interpolating indicators (at least for spatial dimensions) before merging criteria suitability data, or raise an error or a warning.
Additional Context
No response
Contribution
Code of Conduct
Addressing a Problem?
When
SuitabilityCriteriawithindicatorswith different dimensions are provided toLandSuitabilityAnalysis, the computation of the suitability with the latter leads to weird outputs without warnings.For example, in the figure below the variable on plotted on the left has a lower spatial resolution than the one on the right:
Potential Solution
It would be great if LSAPy could handle this, interpolating indicators (at least for spatial dimensions) before merging criteria suitability data, or raise an error or a warning.
Additional Context
No response
Contribution
Code of Conduct