What's in between
I think this is a great framework and directionI. I'll add that I think ultra-conventional wisdom says: a. draw some control characters first, representing the scripts and cases of the final font. b. create a word space for each script and case required for composition...
I think this says reading in a human bubble bath is comparing the space inside words, to the space between words, to the space between lines. While there's a lot of arguments about what happens in reading, there isn't a lot of argument about what happens in writing.
Spacing being decided discretely in an electric bubble bath, should I think know the word space bubbles. And in a dynamic spacing method, I think should know how to look at literally everything that bubbles.
Questions and answers welcome.
Thanks
Hi David,
I think you meant to file this under the other repo. Still, thanks for your feedback!
Spacing being decided discretely in an electric bubble bath, should I think know the word space bubbles.
Hmmm. The "word spaces" would involve the last glyph of the first word, the space, and the first glyph of the next word, right? It could certainly be done – you could fit the two participating glyphs at a wider distance (i.e. target a lower normalized total interaction, compared to the intra-word pairs), subtract the width of the space character from the obtained distance, and then store the metrics for the whole triplet using contextual kerning. Maybe that's too much work; a simpler alternative would be to produce regular kerns for each glyph-space and space-glyph pair, such that e.g. "o o" would end up tighter than "n n". I don't know if any of that is worthwhile but I like your impulse to generalize this beyond the spacing inside words. I hadn't considered that at all.
And in a dynamic spacing method, I think should know how to look at literally everything that bubbles.
What is a dynamic spacing method? One where entire paragraphs of texts are adjusted at once on a glyph level? I wonder how that would work.