knowingly distort or abstract geographic features to tell a richer story or
highlight specific data.
Flow Maps. By placing stroked lines
on top of a geographic map, a flow map
can depict the movement of a quantity
in space and (implicitly) in time. Flow
lines typically encode a large amount of
multivariate information: path points,
direction, line thickness, and color can
all be used to present dimensions of
information to the viewer. Figure 3a is
a modern interpretation of Charles Mi-nard’s depiction of Napoleon’s ill-fated
march on Moscow. Many of the greatest
flow maps also involve subtle uses of
distortion, as geography is bended to
accommodate or highlight flows.
Choropleth Maps. Data is often collected and aggregated by geographical areas such as states. A standard
approach to communicating this data
is to use a color encoding of the geographic area, resulting in a choropleth
map. Figure 3b uses a color encoding
to communicate the prevalence of obesity in each state in the U.S. Though
this is a widely used visualization technique, it requires some care. One common error is to encode raw data values
(such as population) rather than using
normalized values to produce a density map. Another issue is that one’s perception of the shaded value can also be
affected by the underlying area of the
geographic region.
Graduated Symbol Maps. An alternative to the choropleth map, the
graduated symbol map places symbols over an
underlying map. This approach avoids
confounding geographic area with data
values and allows for more dimensions
to be visualized (for example, symbol
size, shape, and color). In addition to
simple shapes such as circles, graduated symbol maps may use more complicated glyphs such as pie charts. In
Figure 3c, total circle size represents a
state’s population, and each slice indicates the proportion of people with a
specific BMI rating.
Cartograms. A cartogram distorts the
shape of geographic regions so that the
area directly encodes a data variable.
A common example is to redraw every
country in the world sizing it proportionally to population or gross domestic product. Many types of cartograms
have been created; in Figure 3d we use
the Dorling cartogram, which represents
24 Nov
28 Nov 01 Dec
06 Dec 07 Dec
09 Nov
14 Nov
0°
- 10°
- 20°
- 30°
18 Oct 24 Oct
http://hci.stanford.edu/jheer/files/zoo/ex/maps/napoleon.html
maps: figure 3b. choropleth map of obesity in the u.s., 2008.
WA
ND
MT
MN
ID
SD
WI
OR
WY
IA
NE
NV
UT
CO
KS
CA
OK
TN
MO
IL
KY
IN
AZ
NM
WV
GA
SC
NC
MI
OH
VA
DE MD
PA
NJ
NY
CT RI
MA
NH
ME
VT
TX
14 - 17%
17 - 20%
20 - 23%
23 - 26%
26 - 29%
29 - 32%
32 - 35%
LA
MS AL
AR
FL
Source: national Center for Chronic Disease Prevention and Health Promotion; http://hci.stanford.edu/jheer/files/zoo/ex/maps/choropleth.html
maps: figure 3c. Graduated symbol map of obesity in the u.s., 2008.
Obese
Overweight
Normal
Source: national Center for Chronic Disease Prevention and Health Promotion; http://hci.stanford.edu/jheer/files/zoo/ex/maps/symbol.html
maps: figure 3d. Dorling cartogram of obesity in the u.s., 2008.
NY
WA
WI
MI
MT
ID
OR
WY
NV
UT
CO
SD
ND
NE
KS
MN
IA IL
KY
WV
IN
OH
DE MD
NJ
CT
RI
MA
NH
ME
VT
MO
VA
CA
OK
AZ
PA
NM
SC
TN
MS
AR
GA
TX
NC
AL
14 - 17%
17 - 20%
20 - 23%
23 - 26%
26 - 29%
29 - 32%
32 - 35%
LA
10M
1M
5M
100K
FL