You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Inference can again be based on a conditional permutation approach. This consists of holding the tuple of values observed at i fixed, and computing the statistic for a number of permutations of the remaining tuples over the other locations. Note that because the full tuple is being used in the permutation, the internal correlation of the variables is controlled for, and only the spatial component gets altered.
from https://geodacenter.github.io/workbook/6c_local_multi/lab6c.html#multivariate-local-geary
The current implementation doesn't control for correlation between the variables.
The text was updated successfully, but these errors were encountered: