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positive mask commented out + other questions #4
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Last point, you introduce local bivariate Moran's I which is really cool, yet I noticed that you are missing Do we interpret the local moran's I in a way similar to z-scores, given that it does not seem to be bound betwen -1 and +1. Finally, you suggest using raw data for local_r scores, but z-score type normalization with raw counts would be very susceptible to outliers, what would be the reasoning behind using raw? Please do not hesitate to correct me if I'm misunderstanding. Daniel |
@dbdimitrov Hi Daniel. Thanks for your interest in SpatialDM. Positive masks are common practice in Moran statistics, for which the reason is to avoid negatively-correlated hits. |
Thanks for the answer |
Hi,
Congrats for the well-timed and efficient tool!
I wanted to ask in a previous version you had a positive local mask implemented, which is now commented out:
SpatialDM/spatialdm/utils.py
Line 191 in 20d28c2
What is the reasoning for this?
Also, were the correlations between analytical and permutation-based local p-values calculated before or after applying the mask?
Thanks in advance for your response!
Daniel
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