I admit this article needs references on the part on skewed Cartesian coordinates. Unfortunately I can't find any, so I reference the math I used to derive it in February... I needed to solve a problem in these coordinates but couldn't find the info.

I hope this is ok? Noone should have to derive all this crap from scratch. To make up for it I try to show steps. -Ben pcc (talk) 19:58, 10 August 2009 (UTC)Reply

Interesting!, but I question how these things become misused.

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I once convinced a scientist friend of mine to discard a color model where he had intentionally skewed one of the axes in a very similar manner to the illustration used here. I convinced him that there is always a mapping from model to data and back again and that skewing an axis doesn't change anything, even when what you wish to convey is a cartesean "compression" of sorts. IOW, there simply is no point to angling an axis inward; all it requires you to do is redraw the data set skewed. However the measurements along that mucked up axis was still allowing me to find all the exact same data points. Incidentally, he changed it to a remapping of the data points as a skewed shape within a normal right-angle cartesian axial system.Tgm1024 (talk) 00:34, 18 January 2017 (UTC)Reply