Hello, I am conducting a hotspot analysis of disease prevalence rates using census tracts in ArcGIS Pro. I am following the "5-Step Geoprocessing Approach" outlined in this paper (this should jump you to the methods section, you then need to scroll down a little bit to see step 1 etc.):
https://ajph.aphapublications.org/doi/10.2105/AJPH.2013.301769?url_ver=Z39.88-2003&rfr_id=ori%3Arid%...
The issue I am having is with Step 3 where they use Incremental Spatial Autocorrelation to find the optimal distance band.
I found this presentation from the Michigan State Health Department that cites this very paper and follows the same 5 step process, applying them to preterm birth (PTB) rates as well as low birth weight (LBW) rates by census tract : https://www.michigan.gov/documents/mdhhs/20181218_Hot_Spot_Analysis_2012_2016_PTB_LBW_641369_7.pdf
This slide from page 11 that talks about Step 3 of the geoprocessing approach (I am going to include the step 2 slide from page 10 as well for context, see below).
I do not understand how they ended up finding distances at which clustering peaks of 4.2 miles and 5.3 miles for their two rates (see the last two lines of the second slide) if the Beginning Distance for the Incremental Spatial Autocorrelation was set to 20.7 miles? Surely that means that the distances at which clustering peaks will have to be higher than 20.7 miles since in Incremental Spatial Autocorrelation you increment up from the Beginning Distance, not down? What am I missing here?