Initial Ideas/Notes

[jspineda]

Standard Confusogram:

5 Properties - Mass, Period or Ro , Magnetic Energy B^2, Poloidal/Toroidal, Axisymmetry

Usual Approach:

Plot Mass vs. Period with the other 3 variables represented by point size, color, and marker shape.

Useful Notes:

Looks like axisymmetry and or poloidal vs. toroidal simply described by variables [0,1], but see Table 9 of Morin+ 10; for axisymmetry use number to left of slash

References: Morin+ 10 (2010MNRAS.407.2269M) ; Morin+ 08 (2008MNRAS.390..567M); many others

below is from Morin 2010

Problems:

• Size of points is an issue, the area of marker face is not conserved; creates a strange effect when comparing large axisymmetric points and non-axisymmetric points

-When points are too big, they obscure other points on the plot with the effect of almost hiding data

• polygon (octagons etc.) vs. pointy star has to be different
• Need to have legends and colorbars that are intuitive and informative
• color scheme is not perceptually uniform
• What is the dynamic range of the variables? what should be the range of the plot devices; mappings from variables to plotting space

  Ideas:

• Try replacing one of the representations with a change in alpha instead, like open vs closed points for magnetic energy or poloidal/toroidal
• Conserve area in marker size or replace size changes altogether
• Since magnetic energy is B^2, if it is presented using the area of the marker point, then the radius of the point goes as ~B
• Divergent color scheme for poloidal vs. toroidal
• Change the color scales to color blind friendly schemes
• What if you only colorize one property and plot 3 plots with each showing a different variable in color (Jim)
• Use new marker shape; can the marker shape changes be reflective conceptually of the variable in question; dumbbell shapes? (Jim)
• What if you switch up which property is conveyed by which aspect of the plot, color for magnetic energy?
• Try to keep continuous variables with continuous plot representations?
• Remake version of plot above with new concepts,
• General python package that anyone can use, with flexible inputs (for non standard confusograms)
• If something useful comes of this consider submitting it as part of the proceedings?

[jradavenport]

I really..... really.... wish we had the actual data that makes up the excellent figure. The table is just a couple of the datapoints