(01-09-2021, 12:48 PM)obelus Wrote: You are not allowed to view links. Register or Login to view.No specific question is addressed by these particular graphics, but the general form may be a natural way of representing paragraph-level structure. Binning artifacts discussed earlier in the thread are naturally still present.
Belated thanks to Obelus for the idea and demonstration of using this kind of display for downward/rightward statistics. I agree that it's a big improvement over the approaches I was trying before, and I think we can get rid of those binning artifacts as well, if we want to, by following steps something like this:
(1) Assign values to successive points in each line, such as vords; "no" = 0, "yes" = total count of points in line.*
(2) Interpolate to expand the series to 500 points in width.
(3) Stack the results vertically by paragraph.
(4) Interpolate to expand the result to 250 points in height.
(5) Overlay the results for all paragraphs and sum them.
(6) Rescale the summed values to the range 0-255.
(7) Export as an image.
*The idea in assigning higher values to points in lines that contain more points is to help compensate for the smaller space they occupy in the final image. There's likely a better way to handle this.
What I've described so far would give us a grayscale image, but we can use color to add further nuance, for example:
(8) Carry out steps 1-7 separately for Currier A and Currier B.
(9) Assign the result for Currier A to one RGB color channel, the result for Currier B to another color channel, and the sum of the values for Currier A and Currier B to the remaining color channel.
(10) Rescale the summed values to the range 0-1.
(11) Adjust the Currier A and Currier B channels (but not the "sum" channel) from linear to sRGB encoding -- this makes the contrast between them stand out more sharply.
(12) Multiply all values by 255 and export as an image.
If we invert the result of all these steps, we get a display comparable in scale to the one Obelus proposed -- showing rightwardness and downwardness of vords beginning [qo] -- but with gentler gradients and somewhat cloudlike shapes.
[
attachment=6046]
For comparison, here's the same display in its original form, with higher values mapped to brightness rather than darkness:
[
attachment=6045]
Here's another display showing the distribution of all vords beginning [sh] on the left and all vords beginning [ch] on the right:
[
attachment=6047]
And here's a similar display for two specific vords: [shedy] on the left, [chedy] on the right. Note the different coloration resulting from the vast majority of tokens coming from Currier B.
[
attachment=6048]
Finally, here's a display for the vord [daiin], which shows a conspicuous peak I wasn't expecting:
[
attachment=6049]