| Literature DB >> 27472288 |
Emily T Griffiths, Sara C Keen, Michael Lanzone, Andrew Farnsworth.
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0156578.].Entities:
Year: 2016 PMID: 27472288 PMCID: PMC4966923 DOI: 10.1371/journal.pone.0160596
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 2Similarity matrix generated by calculating random forest distance between quantitative features measured from flight calls.
Birds are labeled by the bird band assigned given to the bird when the recording was made at the Powdermill bird banding station (S4 Table). The individual pixels in the matrix represent the pairwise similarity values between the 180 flight calls, and the dark grid lines between pixels separate the calls from different individuals (N = 36 individuals, with 5 calls from each). Darker pixels indicate higher pairwise similarity.
Fig 42-D Principal Coordinate Analysis (PCoA) plot based on extracted feature measurements showing multivariate homogeneity of group dispersions between all calls (N = 180), with 99% confidence ellipse based on the standard errors of the axis score averages.
Calls from the same variant class are plotted in relation to their centroids. Differences between classes were shown to be statistically significant (MANOVA; F = 4.51, R2 = 0.086, p < 0.001). Two orthogonal axes summarize the variability in the data set. Note: The M centroid is behind the V centroid, but has the large confidence ellipse.