These ternary plots are also commonly used for compositional data, e.g. for displaying a property of a three component mixture. Its three components shall always sum up to 100 %, thus the axes are increasing in opposite directions to each other.
They are common and yet I still really struggle to quickly understand what any points but the three extremes mean. I’m not sure there’s an alternative though.
Took me a minute to fully parse, I’ll try to explain
Each edge of the triangle is 0-100% of each mode, thus the center is 33% of each mode because of the skew in the ‘grid’.
Then the thickness/color represents the population, the data just happens to work that there’s a strong correlation between population and change in modal percent, making the constant gradients.
These ternary plots are also commonly used for compositional data, e.g. for displaying a property of a three component mixture. Its three components shall always sum up to 100 %, thus the axes are increasing in opposite directions to each other.
They are common and yet I still really struggle to quickly understand what any points but the three extremes mean. I’m not sure there’s an alternative though.
my problem is that from any node there are two possible lines to an edgezand I’m never sure which is the correct one
Took me a minute to fully parse, I’ll try to explain
Each edge of the triangle is 0-100% of each mode, thus the center is 33% of each mode because of the skew in the ‘grid’.
Then the thickness/color represents the population, the data just happens to work that there’s a strong correlation between population and change in modal percent, making the constant gradients.