Input data: dimensions can be {independent, dependent} and {continuous, ordinal, nominal} Output graphical representation: at most 3D space × 1D time
{"Image DocumentName": "Output graphical representation: at most 3D space \u00d7 1D time", "Image ImageDescription": "Input data: dimensions can be {independent, dependent} and {continuous, ordinal, nominal} If I say 3D visualization , it\u2019s ambiguous just what I mean by that. It\u2019s important we distinguish between the properties of the input data, and of the graphical output. The input can be arbitrarily complex, and may be high-dimensional or a complicated graph. The output is limited by human physiology and our physical universe: it can have at most 3 spatial dimensions, 1 temporal dimension. (Output could be a diagram on a piece of paper, or a 3D object from stereo lithography, etc.) Furthermore, it is made up of various colours, for example if it\u2019s composed of pixels, each pixel has some colour. Colour space is limited to 3 degrees of freedom (that\u2019s not quite true; the full brdf has more than this many degrees of freedom), due to how the human visual system works. Even more, the resolution of the output is limited by the finite density of cells on the human retina. If the output is on an interactive system, such as a computer, then we can allow the user to interact with the output, and change or adjust this mapping. Interaction also means we don\u2019t have to show everything in the output, instead we can show a subset and allow the user to navigate toward the data they need, which might actually be faster than having the user try to find the information they want in a high-density static visualization.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}