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The cutting tool angles have conventionally been presented using projective geometry in terms of the projections of cutting edges on respective planes, which makes the visualization of geometry difficult, particularly for complex tools.
This upper bound on necessary storage makes the visualization of larger data sets feasible.
The OCT signal is a beam backscattered from the sample, which makes the visualization of nearly transparent and low-scattering samples difficult.
Using SVG paths to display complex objects such as histograms (e.g. coverage data) and line data (e.g. conservation data) limits the number of objects created and makes the visualization scalable to a large number of datasets.
Metabolite duplication reduces clutter, but the huge number of reactions in the compartments of some models and missing subsystem annotations, makes the visualization consume too much space and do not allow a user to grasp the essential structure of the network.
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Computers now allow microsecond timescale molecular-dynamics simulations, which make the visualization of such processes possible.
Previous studies with radiolabeled exendin-4 derivatives have documented high kidney uptake, which potentially make the visualization of the pancreas difficult.
However, to make the visualization more effective to the users, their interests or preferences need to be incorporated to the web graph generation procedures.
The utilization of soft X-ray made the visualization of generated N2 behavior in the DHFC possible with the spatial resolution of 1.5 μm and the temporal resolution of 2.0 s frame−1.
Friedrich and Eades [34] defined high-level guidelines for a good visualization of graph evolution with animations, including uniform, smooth and symmetrical movement of graph elements, with minimization of edge crossings and overviewing some techniques that make the visualization more enjoyable, such as fadeout deletion of nodes.
Data scientist Dave Goodsmith made the visualization and published it in the Los Angeles Times in December.
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