In what instances is it better to use Zone of indifference instead of  inverse distance for hot spotting?

Discussion created by stephnie.watson on Jan 24, 2017
Latest reply on Jan 24, 2017 by stephnie.watson

I have ridership data for transit that I am trying to hotspot to see if there are significant spatial clusters of riders in certain neighbourhoods. The data unfortunately is not tied to bus stops so I have had to sum rides for each neighbourhood and add it to the shapefile that way. I am now trying to determine which conceptualization to use. Based off of the descriptions I believe I have it narrowed down to Zone of indifference or Inverse distance. Any thoughts as to how you would go about hot spotting this data or choosing the proper Conceptualization? I have run them all as well to get a feel for the data but it has just made it more confusing. 


Thank you for your thoughts!