Creation of T-Plots

I shall start introducing the Time-Plot family with the easiest type of plots, the T-plots, which only consist of one time axis and one spatial aspect on the second axis. There are three types of T-plots. (1) The first type (T-x, T-y, T-r) considers besides the temporal aspect only one spatial aspect and ignores all others. (2) The second type (T-$\nu$) works with derivatives of the whole spatial information. (3) The third type (T-$\sigma$) compresses the spatial information to one measurement as the standard deviation by applying the temporal data frames concept described in chapter 4. The first use of these plots is for revealing homogeneous phases within datasets. A second application can be the detection of trends. These plots are easy to understand and some of them may have been used earlier, but they have never been integrated in a comprehensive way. They will give a good introduction to the 'thinking in time' that will be needed when presenting the TT-plots.