You can see in Figure 5.9 that the first map contains difficult‑to‑distinguish shades
of peach. If you were trying to match a color on the map to a color on the legend in
order to, say, figure out the population category for a particular region of Spain, the
map on the left would not be much help. The map on the right, with only five shades
of peach, is much better. Of course, applying this rule means that you frequently
must generalize your data by grouping them into fewer categories, resulting in some
loss of detail. Therefore, if it is essential that you have more than five categories, you
must use a color scheme that includes multiple hues or even other textures such as
shading or hashing to further distinguish the colors (more on this in the next section).
Also note that in the above example you would not use the peach color for any other
map element features such as labels or town points because, again, they would be too
difficult to differentiate from the background
You can see in Figure 5.9 that the first map contains difficult‑to‑distinguish shades
of peach. If you were trying to match a color on the map to a color on the legend in
order to, say, figure out the population category for a particular region of Spain, the
map on the left would not be much help. The map on the right, with only five shades
of peach, is much better. Of course, applying this rule means that you frequently
must generalize your data by grouping them into fewer categories, resulting in some
loss of detail. Therefore, if it is essential that you have more than five categories, you
must use a color scheme that includes multiple hues or even other textures such as
shading or hashing to further distinguish the colors (more on this in the next section).
Also note that in the above example you would not use the peach color for any other
map element features such as labels or town points because, again, they would be too
difficult to differentiate from the background
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