Timeline for How: 2D scatterplots with quantitative density-dependent coloring
Current License: CC BY-SA 3.0
8 events
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| Apr 13, 2017 at 12:55 | history | edited | CommunityBot |
replaced http://mathematica.stackexchange.com/ with https://mathematica.stackexchange.com/
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| Jun 10, 2015 at 10:56 | vote | accept | kjo | ||
| Jun 9, 2015 at 17:16 | comment | added | JimB | Very good update. And by "numerically" (rather than "visually") I was referring to things like "the smallest area under the surface that encompasses 95% of the probability" which are used in animal home ranges as opposed to the height of the probability surface. So rather than contours at fixed and uniformly spaced heights/elevations, a set of contours with associated coverage probabilities is sometimes more desirable. (And as been pointed out by others, desirable things also depend on the objectives rather than just the data.) | |
| Jun 9, 2015 at 17:09 | history | edited | MarcoB | CC BY-SA 3.0 |
Added legend to DensityHistogram chart
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| Jun 9, 2015 at 16:54 | comment | added | MarcoB | @JimBaldwin I think you make an excellent point regarding the comparisons. I believe that this can be addressed from within the *DensityHistogram functions themselves (please take a look at the updated version of my answer). What do you think? | |
| Jun 9, 2015 at 16:52 | history | edited | MarcoB | CC BY-SA 3.0 |
Added a solution based on DensityHistogram; refs to existing questions; addressed Jim's comment
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| Jun 9, 2015 at 15:34 | comment | added | JimB |
This will give a good visual feel for the density but if a more quantitative approach is desired, then I'd repeat my above comment that SmoothKernelDistribution would allow for drawing contours that enclosed a specified proportion of points or a specified volume (probability). This becomes more important if two or more datasets are being compared and need comparable coloring/contour schemes. (But maybe there's an option for a SmoothDensityHistogram that allows one to specify contour heights.)
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| Jun 9, 2015 at 15:18 | history | answered | MarcoB | CC BY-SA 3.0 |