Optimize Slider Weights
You may want to explore the relationships between temporal variables and one of the scalar variables in a column of the Metadata Table. First, select a Metadata Table column header for the comparison from the dropdown list shown in Figure 20. This dropdown is above the Scatterplot in the upper right. Then click the icon, which will adjust the slider weights to generate a Scatterplot projection maximizing differences in the value range of the selected variable. The resulting slider weights indicate the relative importance of each temporal variable in the phenomenon described by the set of values in that Metadata Table column. Note that Metadata Table columns with string values can be selected here, but that those strings are changed to integers starting from 1, where each integer corresponds to a string value in the column, ordered alphabetically.
To provide some sense of what this function does, here is an example of the results for optimizing the point projection and slider values against the Annual Precipitation variable. Figure 21 shows the Scatterplot where all temporal variables are fully weighted with their slider values set to 1. The points are colored by their values for Annual Precipitation, where high values are dark gray and low values are white.
Figure 22 shows the adjusted slider values and point projections after the optimization. From the sliders that are visible in the figure, we can see that many temporal variables do not contribute to Annual Precipitation (i.e. their sliders are set to zero), while others display varying levels of influence. Mean Humidity (not shown) exerts the strongest influence, with its slider value set to one. Max Temperature and Min Dew Point also exert influence.