Jenv binsize correction is incorrect. #51
Description
Using the book tokyo data for user 95795770@N00, I can get envelopes for G and F, but not J. I think this means whatever shape fix used here is wrong.
import pandas, pointpats
df = pandas.read_csv('https://raw.githubusercontent.com/gdsbook/book/master/'
'data/tokyo/tokyo_clean.csv')
coordinates = df.query('user_id == "95795770@N00"')[['x','y']].values
pattern = pointpats.PointPattern(coordinates)
realizations = pointpats.PoissonPointProcess(pattern.window, pattern.n, samples=1000, asPP=True)
k = 40
genv = pointpats.Genv(pattern, intervals=k, realizations=realizations) # works
fenv = pointpats.Fenv(pattern, intervals=k, realizations=realizations) # works
jenv = pointpats.Jenv(pattern, intervals=k, realizations=realizations) # fails for all k>1 I've checked.fwiw there are 419 coordinates, and I can compute the Jenv of a random pattern with 419 points.