I have a number of simulated maps for which I would like to calculate some gerrymandering metrics. To do this I am using the redist.metrics function as explained in the documentation and I've set measure = 'all'. The code in this case looks like this:
While most of the metrics calculated look fine, I've noticed that the Smoothed Seats seems off. The documentation for this package defines this measure as:
SmoothedSeat computes the Smoothed Seat Count Deviation (0-1, smaller is R Bias, bigger is D Bias).
However, the SmoothedSeat values output in redist.metrics in this case are not only between 0-1. I've noticed the same thing using another redist.map object for another state.
I've taken another look at the documentation and paper. I think the 0-1 refers to the fractional part of the smooth seat count and the deviation itself is clearly defined, so I will consider this closed.
I have a number of simulated maps for which I would like to calculate some gerrymandering metrics. To do this I am using the
redist.metrics
function as explained in the documentation and I've setmeasure = 'all'
. The code in this case looks like this:While most of the metrics calculated look fine, I've noticed that the Smoothed Seats seems off. The documentation for this package defines this measure as:
However, the SmoothedSeat values output in
redist.metrics
in this case are not only between 0-1. I've noticed the same thing using anotherredist.map
object for another state.