This week was al about spatial. We did spatial in Alteryx and Tableau as well. Spatial analysis is very interesting and very powerful. Some of the insights you can gain from it is quite astounding. For examples, one of the exercises consisted of mapping a region of NSW and then calculating which areas can ambulances reach within a 30-minute driving distance.

For this week, we will have a look at spatial tools, and see what they do. The first one we will look at will be the ‘Create Points’ tool, and it looks like this (see Figure 1):

Figure 1: Create Points tool in Alteryx (found in the Spatial tab).

This is a very useful tool for converting longitude and latitude values into point spatial objects. The next tool is the ‘Buffer’ tool, which can be seen in Figure 2:

Figure 2: Buffer tool.

This tool allows the user to create a buffer zone around a spatial point. My favourite tool (mostly due to me using it a lot) in the spatial section is the ‘Spatial Match’ (see Figure 3).

Figure 3: Spatial Match tool.

This tool has two inputs, a target input, ‘T’, and a universe input, ‘U”. The ‘T’ input is looking for a point target that is contained within the ‘U’ input (usually a polygon spatial object). You have the option to choose what type of math you want as well (see Figure 4).

Figure 4: Spatial match options available.

Furthermore, the tool has two inputs, an input that matches, ‘M’, and that didn’t match, ‘U’. The last and final tool we will be discussing today is the ‘Spatial Info’ tool (see Figure 5).

Figure 5: Spatial Info tool. 

This tool is quite versatile as it allows you to take a spatial object and have it output different types of measures that you are interested in. For example, you can output kilometers/miles info, area, and centroid points just to name a few.

Today we have barely scratched the surface of spatial analytics that are available in Alteryx.

The Data School
Author: The Data School