Technical


Figure 3: Axis 1 against Axis 2 for S1 and L1 data from Turfgrass Seed 2016 showing two close up sections


It gives us no idea at all about the large bunch of cultivars in the middle that I have not zoomed in on


Figure 4: Four of 6 classes identified within the S1 and L1 data and indicated on the Axis 1-2 scattergram


scattergram. To achieve a more comprehensive analysis of cultivar performance, I combined the data for sports maintenance with those for lawns (using only those cultivars that were represented in both tables) and the resultant scattergram is shown in Figure 3. This accounts for 67% of all of the variation present in tables S1 and L1. Now we can see that, with respect to all of


the criteria included in this analysis, the cultivars Limonica, Esquire, Platinum, Ceretec, Lifrance, Turfgold and Verdi are all generally


similar to one another. The same is true for the cultivars Monroe, Eventus, Duparc, Bargold etc., but these two groups are very different from one another. If we felt inclined, we could look at the data for each of these groups of cultivars in order to determine how exactly they differ and that would be an interesting thing to do. It is still not a very straightforward indication of how the cultivars are actually performing in relation to one another, however, and it gives us no idea at all about the large bunch of cultivars in the


middle that I have not zoomed in on. Using another clever statistical technique, and again one that takes into account all of the data available, it is possible to place the cultivars into groups of generally similar characteristics. This is not dissimilar to assigning stars to particular constellations or the streaming of school pupils into classes on the basis of their performance in different subjects, French, maths etc. You can dictate at the start how many classes you would like the data to be divided up into. For my example of


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