WeaverGunz_260ind_347slidlms_logCS

This text file contains the example dataset used by Weaver and Gunz in their Evolution publication. The rows correspond to 260 different primate specimens, with the specimen number and species name given by the rows of "WeaverGunz_4species_labels.txt" (e.g., row 4 in the labels file corresponds to row 4 in the dataset file). The full species names are given in Table 3 of the publication. The columns contain the Procrustes fit and slid landmarks/semilandmarks and the log Centroid size. Columns 1-3 contain the x, y, and z coordinates of the 1st landmark/semilandmark, columns 4-6 contain the x, y, and z coordinates of the 2nd landmark/semilandmark, and so on, up to the 1041st column (z coordinate of the 347th landmark/semilandmark). The 1042nd column contains the log Centroid Size. The landmarks/semilandmarks are ordered following Table 1 in the publication

WeaverGunz_4species_labels

This text file contains the labels for the example dataset used by Weaver and Gunz in their Evolution publication. See description of "WeaverGunz_260ind_347slidlms_logCS.txt" for more information

WeaverGunz_neutral_simulations

This text file contains Matlab code for simulating the "selection" gradients from neutral divergence used by Weaver and Gunz in their Evolution publication. The code is meant to be used with the "WeaverGunz_260ind_347slidlms_logCS.txt" dataset file and the "WeaverGunz_4species_labels.txt" labels file. Refer to the publication for details about the methods

Multi-Dimensionale Optimierung von Onshore-Windparks

<p>Convex Hulls of each group show that points made on different raw-materials overlap on the major axes of variation. Artefacts are plotted at the extremes of PC1 for illustration purposes. Additionally the red and blue outlines indicate the two-dimensional edge configurations of computed theoretical shape extremes on PC1. Point scan models are not to scale.</p

The first 6 principal components.

<p>The first 6 principal components.</p

Demonstration of how points orient relative to one another along principal component one (after step 4.2(1)), as well as how the two faces of a biface are segmented along the edge (specimen BBC_PVN64).

<p>Demonstration of how points orient relative to one another along principal component one (after step 4.2(1)), as well as how the two faces of a biface are segmented along the edge (specimen BBC_PVN64).</p

Points with individual layer provenience information within the collection that were used in the analyses that uses chronology as a predictor.

<p>Points with individual layer provenience information within the collection that were used in the analyses that uses chronology as a predictor.</p

Plot showing the interaction between bifacial point stratigraphic layer and bifacial point centroid size, as well as their combined effect on PC1 shape change.

<p>Importantly, the “stratigraphic layer” variable has been specifically transformed for usage in the plot: the individual cells along this axis cannot be equated with individual layers, however, the axis represents the spectrum of variation in the stratigraphic layer variable. In the older layers there is little to no relationship between bifacial point size and shape change along PC1. However, in the younger layers point elongation and refinement are correlated with overall point size. Data points on the plot reflect the average response per cell and are scaled according to their size in accordance with the number of data per cell. Data points are depicted as filled when their average is above the fitted model and empty if they fall below.</p

Vectors showing the landmark configuration deviation between the mean shape in the collection (the blue outlines) and the negative space on both PC1 and PC2.

<p>The plot was devised using the function ‘pcaplot3D’ in the Morpho package [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0132428#pone.0132428.ref087" target="_blank">87</a>].</p

Group Principal Components Analyses using the two M1 sub-phases—M1 Upper and M1 Lower—as grouping factors.

<p>The small sample of points (7) from the M2 phase is also included. Polygons indicate 95% confidence intervals for each group. The bifacial points at the extremes of PC1 illustrate the two extremes of shape within this plot. The fact that the major axis switches—in terms of which end represents more elongate forms—relative to the standard PCA plot is of no consequence. The artefact in the extreme negative represents a specimen that appears to have broken during an advanced stage of manufacture or maintenance and then recycled post-breakage. The red and blue outlines indicate the two-dimensional edge configurations of computed theoretical shape extremes on PC1, on this Group PCA. Point scan models are not to scale.</p