ALA has data set where some species are rounded and some are not. Want to be ab
(Bias) Significant figures in a map. Basically the point size & axis are limited so that you cannot read a level of detail that does not exist. All data is rounded so that some are not obviously in a straight line.
(Variance) Alternative is to convert rounded value to uniform (on what they could have been rounded from) and you then randomly permute them. Utilise alpha value so it can be seen which ones are permuted and which ones are not.
Related to that Wendy paper where she says your method of display should imply a level of precision and data quality. Want to maintain that in this package.
Mean and variance, assumed distribution with estimates, and bootstrapped sample obtained from actual data
I'm thinking they are VSUP, some kind of smoothed mass visualisation, and something similar to the pixel map respectively
Precision