Hi everyone, I want to run an ordinary least squares regression in ArcGIS Pro on my dataset which is composed of about 400 fire occurrences (point data) and demographic variables (100x100m polygons of income, education, etc). I plan to use the fire occurrences for my dependant variable and the demographics for my explanatory variables. The problem I have is with aggregating my fire incident point data. Essentially, I don't want to aggregate my incidents into larger polygons (large fishnet, census districts, postal districs, etc) and lose the accuracy of my 100x100m demographic variables. However, the dependent variable input for OLS requires variation in the weighted value. I have tried the Integrate/Collect Events method of aggregation suggested in the help documentation (and ESRI seminar videos), however because I do not have so many coincident points I am finding myself with a low ICOUNT as a result (a maximum of 3 events aggregated). Does anyone know of a method that I can both aggregate my points properly and preserve the high detail of my 100x100m demographics for my regression? Thanks for your help, Naomi
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