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diazrenata / scads

Statistically constrained abundance distributions
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Approximate S and N of datasets? #19

Open diazrenata opened 4 years ago

diazrenata commented 4 years ago

Download the data from Xiao (White?) et al 2012 and see what the approximate maximum S and N are.

diazrenata commented 4 years ago

https://github.com/diazrenata/scads/blob/master/reports/misc_abund_statevars.md

This is extremely rough - I still need to go through the metadata to make sure I'm adding up the right things.

diazrenata commented 4 years ago

See: https://github.com/diazrenata/scads/blob/statevars/reports/misc_abund_statevars.md

This data differs some from the raw stuff I imported from the retriever. Given that Elita/White's stuff has gone through peer review and involved some cleaning I'm more confident in that data. It is not trivial to trace the data cleaning in White et al 2012/Baldridge (mostly because it's in Python 2), so I haven't done that yet.

diazrenata commented 4 years ago

https://datadryad.org/stash/dataset/doi:10.15146/R3MM4V for BCI data?

diazrenata commented 4 years ago

4c818ed Adding the datasets from the Condit data paper, BCI and Sherman have orders on orders of magnitude more individuals than the other datasets. Off the cuff, Sherman may be doable but I doubt BCI is.