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Only thing I noticed- in admins where the minimum yearly maximum is greater than 0 (i.e. there was some amount of flooding every year), the RP of a 0 value is 1.0 years (due to the interpolation being out of range, and using the lower fill_value of 1). However, if the admin has at least one year where there was no flooding, then the RP of a 0 value is 1.038462 (i.e. (len(group) + 1) / len(group)), because it's then inside the bounds of the interpolation.
Anyways of course this is splitting hairs since they both get reclassified as 1-1.5. So makes no difference for the published dataset.
Only thing I noticed- in admins where the minimum yearly maximum is greater than 0 (i.e. there was some amount of flooding every year), the RP of a 0 value is 1.0 years (due to the interpolation being out of range, and using the lower
fill_value
of 1). However, if the admin has at least one year where there was no flooding, then the RP of a 0 value is 1.038462 (i.e.(len(group) + 1) / len(group)
), because it's then inside the bounds of the interpolation.Anyways of course this is splitting hairs since they both get reclassified as
1-1.5
. So makes no difference for the published dataset.Originally posted by @t-downing in #11 (review)
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