Working on, the pipeline/analysis that has wound up in the manuscript.
Get datasets: download from weecology repo/figshare
Processing datasets: filter out small/large communities, n = s, etc. Max N = 40720; this ceiling applies in Misc Abund. For FIA small, 10,000 samples drawn from the 66,000 sites with S >= 3, <=9.
Processing datasets: subsample the small FIA communities
Singletons (now in supplement)
Sample FS for each community
Calculate skew and evenness for every FS draw and observed
Compare observed values to distributions from FS
Calculate 95% ratio for FS
Combine results from each dataset into overall data frame (all_di.csv)
Render overall figures
The clean-and-tests branch will be for the version of the analysis that matches the manuscript draft.
There are some old/stale reports and analyses that I don't at present know what to do with. I will probably delete them from the version in clean-and-tests, which may eventually morph into the default branch.
I may need to write up an explainer on how the drake pipelines work.
Will also need an interlude on the other ROV approaches I tried (supplement)
Working on, the pipeline/analysis that has wound up in the manuscript.
The clean-and-tests branch will be for the version of the analysis that matches the manuscript draft.
There are some old/stale reports and analyses that I don't at present know what to do with. I will probably delete them from the version in clean-and-tests, which may eventually morph into the default branch.
I may need to write up an explainer on how the drake pipelines work.
Will also need an interlude on the other ROV approaches I tried (supplement)