
Explore the Effects of Global Warming #76
Chapter 6, Mapping on Your Desktop
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HACK
Since the DEM layer import sets existing ocean cell values to null (i.e., no
value), we use the
bg parameter of d.rast to display these background cells as
blue, instead of white. Figure 6-47 shows the result. Now we can start to
examine what the coastlines will look like if the sea levels rise.
Method 1: Hacking the Color Table
Let us suppose the effect of global warming is to cause sea levels to rise by
10 meters, or about 32 feet. This is hopefully a very pessimistic prediction,
but it will serve to highlight the effects in question. There are two ways of
approaching our visualization of the resulting coastline. The really hackish
approach, which we will look at first, is to leave the data itself alone but
hack the DEM layer’s color table, so that the submerged bits appear to be
underwater.
First, let’s assign a custom color map to the DEM, using the
rules option of
r.colors, which lets us specify a set of values (in this case, elevation in
meters) and a color to assign to each one. GRASS will then shade each cell in
the DEM relative to the values we specify in our color map:
GRASS 5.7.0:~/climate > r.colors dem color=rules
Enter rules, "end" when done, "help" if you need it.
Figure 6-47. A colorized elevation model of Western Europe