Dear all,

I am new to using R for analyzing geographic data, so any input would be appreciated. My goal is to obtain the G* (local G) Getis-Ord statistic to a metric that is calculated for every US state and Canadian province (except islands, i.e. Hawaii and Prince Edward Island). The metric is standardized and its value range is [-2, 2]. Using spdep, I created a neighbors list from the US + Canada polygon data, and then generated a binary weight matrix.

state_nb <- poly2nb(region_nb)

weights = nb2listw(state_nb, style="B", zero.policy=F)

Upon examination, both the neighbors and the weights seem to be appropriate to the geographic boundary data. As the next step, I am using a localG() with the metric of interest and the weights computed above.

lG = localG(x = metric, listw = weights, zero.policy=NULL, spChk = F)

The resulting statistic, however, shows a weak negative correlation with the original metric. This outcome is implausible, I think, and I can't quite figure out what may have caused it. Any suggestions are appreciated. If more data is necessary to answer this, I'll be happy to provide it. I am new to this and only just learning the rules.

Thank you!

Victor

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