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In the PlateReconstruction.tessellate_subduction_zones(return_geodataframe=True) function, the returned DataFrame includes a column named overriding_plate_id. However, this column should be named trench_plate_id to accurately reflect the data it represents. The current overriding_plate_id values differ significantly from the trench plate IDs, as shown in the attached figure.
Steps to Reproduce:
Use the PlateReconstruction.tessellate_subduction_zones(return_geodataframe=True) function.
Inspect the returned DataFrame.
Please refer to the attached figure for a visual comparison of the overriding_plate_id and trench_plate_id.
Attachment:
The text was updated successfully, but these errors were encountered:
Yes, that's true, it probably should be changed to "trench plate ID" here. I don't think that'll cause a problem - if I don't hear from any @GPlates/gplately-dev then I'll change that next week.
Originally the subduction convergence script (previously in PlateTectonicTools) used to find the plate ID of the overriding plate, but was subsequently changed to the plate ID of the trench line for this reason.
There's new functionality from #316 (using recent pygplates 1.0.0rc1 functionality) that affects this issue. However the trench plate IDs are still not quite correct yet (the new functionality, unlike the original functionality, is not accurate for deforming trenches) as noted here:
Just a note to myself: The fix mentioned in that TODO has now been added to pygplates and will be available in pygplates 1.0.0 (soon). So I'll update gplately to use the trench ID when that is officially released (soon), and will also rename the column to "trench plate ID" to close this issue.
Description:
In the
PlateReconstruction.tessellate_subduction_zones(return_geodataframe=True)
function, the returned DataFrame includes a column namedoverriding_plate_id
. However, this column should be namedtrench_plate_id
to accurately reflect the data it represents. The currentoverriding_plate_id
values differ significantly from the trench plate IDs, as shown in the attached figure.Steps to Reproduce:
PlateReconstruction.tessellate_subduction_zones(return_geodataframe=True)
function.Please refer to the attached figure for a visual comparison of the
overriding_plate_id
andtrench_plate_id
.Attachment:

The text was updated successfully, but these errors were encountered: