Closed teixeirak closed 4 years ago
@teixeirak this uses the 'geographic.area' parameter in ForC, which I think is defined by a code that @ValentineHerr wrote (correct me if I'm wrong!). As far as I understand, it clusters the sites/plots which are close together so that correlations within 'super sites' are accounted for. From the metadata: 'Groups geographically proximate sites, where proximity was defined using a hierarchical cluster analysis on the distance matrix of the sites and a cutoff of 25km (R script available in the Github scripts folder)'.
@ValentineHerr do you have any clarification on this?
@beckybanbury, the question was actually about how we treat geographic.area in the statistical models, but I found the answer in the manuscript. No need for clarification.
from Helene: "The clustering into geographic areas is currently explained only in the caption to table 2, and that explanation is inadequate, and left me with many questions about how this worked in practice. " (also , in pdf: what if sites differed in forest age or other? she notes that climate can differ considerably within this range across elevational gradients.)
@beckybanbury, we need to clarify this in the manuscript text. I'm rusty on exactly what we did...