willpearse
commented
6 years ago The short answer is that we don't load mapped stand data into NACDB unless the stands are very small :-( I've done what you describe as not being ideal (and I agree that it isn't) for NEON data where they have mapped stands too.
I'm going to leave this here as a "hmmmmm" issue. The Nerd Herd are having a final push on this next week, and a few have expressed interest in doing something more sensible with these kinds of data. I think we might have something a bit more solid ready in a week or two.
Thanks for this; it's useful to hear that this is something people are going to want.
On Wed, 18 Apr 2018 at 12:08 Dan McGlinn notifications@github.com wrote:
I would like to contribute code to access this dataset which is a fully mapped stand of woody plants:
http://ctfs.si.edu/webatlas/datasets/sherman/sherman.zip
Additional metadata is available here:
http://www.ctfs.si.edu/site/Sherman/
I noticed by using a few scripts the data structure you are going for is:
site.id, speices.name, value
Would it be reasonable for a mapped stand to massage it into the form:
site.id, species.name, dbh, x, y
where x and y represent the stem's coordinates or would you prefer that abundance just be aggregated to the entire site scale. Alternatively it would be possible to convert this mapped stand into quadrat data by chosing a spatial resolution of interest and then running with the dataset although this doesn't seem ideal.
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I would like to contribute code to access this dataset which is a fully mapped stand of woody plants:
http://ctfs.si.edu/webatlas/datasets/sherman/sherman.zip
Additional metadata is available here:
http://www.ctfs.si.edu/site/Sherman/
I noticed by using a few scripts the data structure you are going for is:
site.id, speices.name, valueWould it be reasonable for a mapped stand to massage it into the form:
site.id, species.name, dbh, x, ywhere x and y represent the stem's coordinates or would you prefer that abundance just be aggregated to the entire site scale. Alternatively it would be possible to convert this mapped stand into quadrat data by chosing a spatial resolution of interest and then running with the dataset although this doesn't seem ideal.