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!