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Combining Multiple Representations

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Previously, we have investigated how to represent immediate signals, signal history and process history over neighbourhoods laid out geographically. Here we look at combining these views into a single graphic. Firstly, we can place the signal icon on top of process view.

A gapped chart showing both signal and process information for each neighbourhood. Click on a neighbourhood to see its SPC chart.
The date is .

Further to this, we can add the mark indicating the mean of the data point or signal. We adjust the opacity to allow the glyphs to be seen on top of the processes and signals.

A gapped chart showing both signal and process information for each neighbourhood, as well as a mark showing the mean of either the last data point or the signal. Click on a neighbourhood to see its SPC chart.
The date is .

At this point, each square requires more display space for it to be easily interpreted, so we can try enlarging the image. Clicking on a chart opens it in the margin above.

Since we see the direction of the signal (positive or negative) in the colour of the mark, we could colour the icons white instead. This potentially reduces clutter.

A gapped chart showing both signal and process information for each neighbourhood, as well as a mark showing the mean of either the last data point or the signal. The icons are coloured white. Click on a neighbourhood to see its SPC chart.
The date is .

Once again we enlarge the map.

Finally, we can add the trend channels on the top and bottom of each neighbourhood, showing historic positive and negative signals.

A gapped chart showing both signal and process information for each neighbourhood, as well as a mark showing the mean of either the last data point or the signal, and with trend channels top and bottom. Click on a neighbourhood to see its SPC chart.
The date is .

Again, we enlarge the image for a better view.

This chapter investigated how we can fit all the summary information regarding an SPC chart of a neighbourhood into a small area. Next we look at viewing multiple maps when we facet on a particular attribute.