![]() Join these two files using an intersect join to show the competitors in range of my target locationsīelow, I’ll walk through these steps.Create a buffer around my 6 target locations of 350 metres.Create a file of my 6 target locations (i.e.Create a file of existing competitor locations (inc.For example, lets say I was thinking of opening a coffee shop in London so I wanted to know, for six available target locations, how many competitor coffee shops there were within a 350 metres radius of each of those target locations, this is an approach I could take. The good news is if you don’t have spatial points in your data file, you can create a spatial point using the Makepoint calculation (as long as you have latitude and longitude data in your file) and then nest that within the Buffer calculation, as below: Trade Area Analysisīuffers open up lots of spatial analysis possibilities such as looking at trade areas. A unit of measure for the radius (“miles”|”km”|”m” | “ft”).The buffer function takes three arguments: For example, in the two images below on the left, the circles and buffers appear the same size, however, as I zoom out, the circles resize relative to the map, whereas the buffer remains the same size relative to the map: Calculation Syntax When you resize circle marks in Tableau you are essential giving it an arbitrary size (using the slider bar shown below) and not a specific size defined by a unit of measure:Ī buffer remains a fixed size – the size you give it at creation – and it will scale as you zoom in or out of a map, whereas a circle mark will resize as you zoom. The Buffer calculation returns a spatial object that, when rendered on a map, looks like a circle mark, as shown below: Buffers are not Circle Marks ![]()
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