This should be fairly straight forward in theory, but there are quite a few little rules in the app and in the index calculation that need to be considered. I think it could be done for non spatial factors but would be quite complex to add new spatial factors.
The table would need:
Column
Description
short_name
<5 letter label
long_name
what actually shows in app
value_opts
which values are allowed (GI, I, SI, N)
hide_taxa
which taxonomic groups it should be hidden for
section
which section it is part of (B, C, D). Affects n factors needed for sufficient evidence
exp_fact
which exposure multiplier is applicable
is_spatial
is there an associated spatial analysis
Additional metadata for the created index:
how many factors are needed in each section to have sufficient evidence
are there conditions under which the index should be increased above the calculated score. Eg currently this happens if SLR is GI and there are high dispersal limitations this would need to be written in a way that could be read programmatically.
This should be fairly straight forward in theory, but there are quite a few little rules in the app and in the index calculation that need to be considered. I think it could be done for non spatial factors but would be quite complex to add new spatial factors.
Additional metadata for the created index: