Internet Archaeol 1. Beardah and Baxter. List of Figures

List of Figures

Figure 1: One dimensional KDE construction

Figure 2: KDEs of Calcium Oxide composition of French Medieval glass from four sites

Figure 3: KDEs of Calcium Oxide composition of French Medieval glass from seven sites (Colouring for Site 1, 2, 6 and 9 is as in Figure 2, in addition: Site 4 - Green, Site 8 - Dark Blue, Site 10 - White)

Figure 4: Example of an Adaptive KDE

Figure 5: Boundary KDEs of Soda content of French Medieval glass

Figure 6: Adaptive KDE of First Principal Component - Southampton Glass data

Figure 7: Adaptive KDEs by glass colour - Southampton glass data

Figure 8: An example of a two-dimensional KDE

Figure 9: A different presentation of the KDE of Figure 8

Figure 10: A Black and White KDE

Figure 11: Scatter plot of the Mask Site data

Figure 12: Two dimensional KDE - Mask Site data. This view has been chosen to hide one of the main peaks.

Figure 13: Two dimensional KDE - Mask Site data. This is the same KDE as Figure 12, but a more useful viewpoint has been selected.

Figure 14: Animation (Netscape 2 or similar needed)

Figure 15: Contouring - Mask Site data

Figure 16: Percentage contouring - Mask Site data

Figure 17: Animation (Netscape 2 or similar needed)

Figure 18: Bivariate KDE of PCA scores - Southampton glass data

Figure 19: Contouring - Southampton glass data

Figure 20: Contouring by glass colour - Southampton glass data

Figure 21: Three dimensional contouring based upon a trivariate KDE showing 25, 50 and 75% contours, with data not included within these shown as red crosses.

Figure 22: Three dimensional contouring based upon a trivariate KDE, as figure 21, but omitting data not included in the contours

Figure 23: Three dimensional scatter plot

Figure 24: Three dimensional contouring (25% level)

Figure 25: Three dimensional contouring (25 and 50% level)

Figure 26: Three dimensional contouring (25, 50 and 75% levels)

Figure 27: Three dimensional contouring (25, 50, 75 and 100% levels)

Figure 28: The effect on the KDE of different choices of window-width, h.

Figure 29: A further illustration to show the effect of varying h.

Figure 30: A comparison of the normal scale and STE rules for generating h.

Figure 31: One dimensional KDE demonstration

Figure 32: A KDE as a sum of "bumps" (Laplace kernel)

Figure 33: Two-dimensional KDE demonstration

Figure 34: Investigating subgroups within data

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