chrherold
commented
2 years ago Maybe some comments for discussion here:
primary goal: base the visualization of the density of events in a region on a useful histogram map that is used for coloring points as well as drawing contour lines
(means discontinue KDE estimates for Shape-Out2, as they are often misleading if setting are wrong or population is not described by a gaussian distribution)
some considerations
- find a good and automated way to set the correct spacing of the grid describing the density
- deal with outliers
- one grid per plot panel? (!)
secondary goal: make plotting faster
Currently, by built in design, KDE is calculated using all points in a plot (downsampling makes it faster) For determining the grid, a downsampled subset (5k to 10k?) could be used even if all points are plotted. This should speed up plotting of datasets with many events without losing significant information.
Depends on: https://github.com/ZELLMECHANIK-DRESDEN/dclab/issues/153 Original issue: #110