I have a dataset that (if thought of as an image) is much wider than tall. (Data is collected in one dimension from 100,000 to 1,000,000 X-points, each Y value is in the range from 0 to 1. With your “natural” resolution, you can think of it as an image with an aspect ratio of about 100: 1. )
I would like to be able to display this data in some kind of “scalable user interface” such as DeepZoom / Silverlight / Seadragon technology for large images. However, these technologies suggest that (1) the images are almost square, and (2) when approaching them, the aspect ratio does not change.
Ideally, I need an equivalent tool that only scales in one dimension. The smallest resolution will display all data with an aspect ratio of 1: 1. With each increase you change the aspect ratio. In particular, you can double the resolution on the X axis and leave the resolution only on the Y axis. Thus, you get a pannable version with an aspect ratio of 2: 1, and then 4: 1, then 8: 1, to possibly 128: 1 or 256: 1. At the highest resolution, you can see the local data structure (presumably in the most interesting places).
Is there an equivalent to DeepZoom technology that allows (on a tile basis) to scale only one dimension? Or is there a way to limit DeepZoom to make this work?
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