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3. Scale and Projections
Scale and projections are two fundamental features of maps that usually do not get the attention
they deserve. Scale refers to how map units relate to real-world units. Projections deal with the
methods and challenges around turning a three-dimensional (and sort of lumpy) earth into a two-
dimensional map.
This section will introduce you to…
Scale and ways of telling the map user what the map is measuring on the ground
Projection mechanics, type of projections, and their characteristics
By the end of this chapter, you should be able read map scales and identify common projections
along with their basic features and uses.
3.1 Scale
The world is vast. The earth’s surface has an area of over 500 million km2 and any picture of the
earth that you can easily carry can only show general outlines of continents and countries. When
we visually represent a region of the world on a map, we must reduce its size to fit within the
boundaries of the map. Map scale measures how much the features of the world are reduced to fit
on a map; or more precisely, map scale shows the proportion of a given distance on a map to the
corresponding distance on the ground in the real world.1
Map scale is represented by a representative fraction, graphic scale, or verbal description.
Representative fraction.
The most commonly used
measure of map scale is the
representative fraction (RF),
where map scale is shown as
a ratio. With the numerator
always set to 1, the
denominator represents how
much greater the distance is
in the world. Figure 3a
shows a topographic map
with an RF of 1:24,000,
which means that one unit on
the map represents 24,000
units on the ground. The
representative fraction is
accurate regardless of which
units are used; the RF can be
measured as 1 centimeter to 24,000 centimeters, one inch to 24,000 inches, or any other unit.
Figure 3a. Representative fraction and scale bars from a United States
Geological Survey (USGS) topographic map
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Graphic scale. Scale bars are graphical representations of distance on a map. Figure 3a has scale
bars for 1 mile, 7000 feet, and 1 kilometer. One important advantage of graphic scales is that
they remain true when maps are shrunk or magnified.
Verbal description. Some maps, especially older ones, use a verbal description of scale. For
example, it is common to see “one inch represents one kilometer” or something similar written
on a map to give map users an idea of the scale of the map.
Map makers use scale to describe maps as being small-scale or large-scale. This description of
map scale as large or small can seem counter-intuitive at first. A 3-meter by 5-meter map of the
United States has a small map scale while a UMN campus map of the same size is large-scale.
Scale descriptions using the RF provide one way of considering scale, since 1:1000 is larger than
1:1,000,000. Put differently, if we were to change the scale of the map with an RF of 1:100,000
so that a section of road was reduced from one unit to, say, 0.1 units in length, we would have
created a smaller-scale map whose representative fraction is 1:1,000,000.
When we talk about large- and small-scale maps and geographic data, then, we are talking about
the relative sizes and levels of detail of the features represented in the data. In general, the larger
the map scale, the more detail that is shown (Figure 3b).2
Figure 3b. These two satellite images depict the pyramids in Giza, Egypt. The image on the left is zoomed
out or appears to be taken from far above the earth. This is a small-scale map. The map on the right is a
larger-scale map. This distinction between larger-scale and smaller-scale is not intuitive, so here is an
easy tool to remember it: if the buildings are larger, then the scale is larger.
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3.2 Extent vs. Resolution
The extent of a map describes the area visible on the map, while resolution describes the smallest
unit that is mapped. You can think of extent as describing the region to which the map is
zoomed. The extent of the map in Figure 3c is national as it encompasses the contiguous United
States, while the resolution is the state, because states are the finest level of spatial detail that we
can see.
Figure 3c. Map showing a national extent and a state resolution.
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We often choose mapping resolutions intentionally to make the map easier to understand. For
example, if we tried to display a map with a national extent at the resolution of census blocks, the
level of detail would be so fine and the boundaries would be so small that it would be difficult to
understand anything about the map. Balancing extent and resolution is often one of the most
important and difficult decisions a cartographer must make. Figure 3d offers two more examples
of the difference between extent and resolution.
Figure 3d. Maps showing an extent of the Pacific Northwest, the left with a spatial resolution of county
and
the right with a spatial resolution of census tracts
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3.3 Projections
This section will introduce you to projections, the term
for turning a three-dimensional globe into a two-
dimensional map. We will discuss the process of how
objects on a 3-dimensional surface (the earth) come to
be represented on a flat piece of paper or computer
screen. Our emphasis will be on the properties that
different projections distort or maintain – area, shape,
and distance.
Projection is the process of making a two-dimensional
map from a three-dimensional globe. We can think of the earth as a sphere. In reality, it is more
of an ellipsoid with a few bulges, but it is fine to think of it as a sphere. To get a sense of how
difficult this process can be, imagine peeling the skin from an orange and trying to lay the skin
flat (Figure 3e).
As you peel and flatten the skin, you will encounter several problems:
Shearing – stretching the skin in one or more directions
Tearing – causing the skin to separate
Compressing – forcing the skin to bunch up and condense
Cartographers face the same
three issues when they try to
transform the three-dimensional
globe into a two dimensional
map (Figure 3f). If you had a
globe made of paper, you could
carefully try to ‘peel’ it into a
flat piece of paper, but you
would have a big mess on your
hands. Instead, cartographers
use projections to create useable
two-dimensional maps.
Figure 3e. Flattened orange peel 3
Figure 3f. Shearing, tearing, and compression on a globe.
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3.4 Mechanics of Projection
The term “map projection” refers to both the process and product of transforming spatial
coordinates on a three-dimensional sphere to a two-dimensional plane.
In terms of actual mechanics, most projections use mathematical functions that take as inputs
locations on the sphere and translate them into locations on a two-dimensional surface.
It is helpful to think about projections in physical terms (Figure 3g). If you had a clear globe the
size of a beach ball and placed a light inside this globe, it would cast shadows onto a surrounding
surface. If this surface were a piece of paper that you wrapped around the globe, you could
carefully trace these shadows onto the paper, then flatten out this piece of paper and have your
projection!
Figure 3g. Thinking of projections in physical terms – a clear globe, a light bulb, and tracing paper. 4
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Most projections transform part of the globe to one of three “developable” surfaces, so called
because they are flat or can be made flat: plane, cone, and cylinder. The resultant projections are
called planar, conical, and cylindrical (as seen in Figure 3f). We use developable surfaces
because they eliminate tearing, although they will produce shearing and compression. Of these
three problems, tearing is seen as the worst because you would be making maps with all sorts of
holes in them! As we see below, however, there are times when you can create maps with tearing
and they are quite useful.
The place where the developable surface touches the globe is known as the tangent point or
tangent line (Figure 3h). Maps will most accurately represent objects on the globe at these
tangent points or lines, with distortion increasing as you move farther away due to shearing and
compression. It is for this reason that cylinders are often used for areas near the equator, cones
used to map the mid-latitudes, and planes used for polar regions.
For beginning mapmakers, understanding the exact mechanics of projections doesn’t matter as
much as knowing which map properties are maintained or lost with the choice of projection – the
topic of the next section.
Figure 3h. Red marks the tangent line/point. The flat surface touches the globe and it is the point on
the projected map which has the least distortion. 5
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3.5 Types of Projections
Projections must distort features on the surface of the globe during the process of making them
flat because projection involves shearing, tearing, and compression. Since no projection can
preserve all properties, it is up to the map maker to know which properties are most important for
their purpose and to choose an appropriate projection. The properties we will focus on are:
shape, area, and distance.
Conformal
Conformal projections preserve shape and angle, but strongly distort area in the process. For
example, with the Mercator projection (Figure 3i), the shapes of coastlines are accurate on all
parts of the map, but countries near the poles appear much larger relative to countries near the
equator than they actually are. For example, Greenland is only 7-percent the land area of Africa,
but it appears to be just as large! Conformal projections should be used if the main purpose of the
map involves measuring angles or representing the shapes of features. They are very useful for
navigation, topography (elevation), and weather maps.
Figure 3i. Mercator projection
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Equal Area
On equal-area projections, the size of any area on the map is in true proportion to its size on
the earth. In other words, countries’ shapes may appear to be squished or stretched compared to
what they look like on a globe, but their land area will be accurate relative to other land masses.
For example, in the Gall-Peters projection (Figure 3j), the shape of Greenland is significantly
altered, but the size of its area is correct in comparison to Africa.
This type of projection is important for quantitative thematic data, especially in mapping density
(an attribute over an area). For example, it would be useful in comparing the density of Syrian
refugees in the Middle East or the amount of cropland in production.
Figure 3j. Gall-Peters projection
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Equidistant
Equidistant projections, as the name suggests, preserve distance. This is a bit misleading
because no projection can maintain relative distance between all places on the map. Equidistant
maps are able, however, to preserve distances along a few clearly specified lines. For example,
on the Azimuthal Equidistant projection (Figure 3k), all points are the proportionally correct
distance and direction from the center point.
This type of projection would be useful visualizing airplane flight paths from one city to several
other cities or in mapping an earthquake epicenter.
Figure 3k. Azimuthal Equidistant projection
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Distortion and Developable Surfaces
Note that distortion is not necessarily tied to the type of developable surface but rather to the way
the transformation is done with that surface. It is possible to preserve any one of the three
properties using any of the developable surfaces, as Figure 3l shows when using a cone.
Conformal
Equal Area
Equidistant
Figure 3l. Three maps created using a conic surface each of which preserves a different map property
(Lambert conformal conic, Albers equal area conic, and Schjerning north polar equidistant conic)6
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Compromise Projections
Some projections, including the Robinson projection (Figure 3m), strike a balance between the
different map properties. In other words, they do not preserve shape, area, or distance, but
instead try to avoid extreme distortion of any of these properties. This type of projection would
be useful for a general purpose world map.
Interrupted Projections
Other projections deal with the challenge of making the 3D globe flat by tearing the earth in
strategic places. Interrupted projections such as the Interrupted Homolographic (Figure 3n)
represent the earth in lobes, reducing the amount of shape and area distortion near the poles.
Figure 3m. Robinson Projection 7
Figure 3n. Interrupted Homolographic. Pseudocylindrical equal-area (National Geographic Society
1904)
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Artistic projections
There are also a large number of projections that are interesting and beautiful, but not intended
for navigation between places or to visualize data. Examples of these artistic projections include
the heart-shaped Stabius-Werner projection (Figure 3o) and Waterman’s “Butterfly” projection
(Figure 3p).
Figure 3o. Stabius-Werner Projection
(Pseudoconic equal area) 8
Figure 3p. Waterman’s “Butterfly” projection 9
3.6 Conclusion
In this section, we have looked at some of the most frequently used projections. There are
hundreds of projections, each which distorts the world in a slightly different way. Keep in mind
that all maps have a scale and there a few important ways to indicate this scale. All maps also use
a projection that can be formed from a developable surface and can preserve one or two
properties at most.
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Resources:
http://giscommons.org/earth-and-map-preprocessing/
How to choose between different projections: http://www.geo.hunter.cuny.edu/~jochen/gtech201/lectures/lec6concepts/map%20coordi
nate%20systems/how%20to%20choose%20a%20projection.htm
Comprehensive guides to projections: o http://www.csiss.org/map-projections/index.html o http://www.progonos.com/furuti/MapProj/Normal/ProjTbl/projTbl.html
1 Parts of this section are adapted from Campbell and Shin (2011). Essentials of Geographic Information Systems.
http://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=67 2 Penn State Geog 482 “The Nature of Geographic Information” Ch.2.5 3 http://krygier.owu.edu/krygier_html/geog_222/geog_222_lo/geog_222_lo13.html 4 http://www.geog.ucsb.edu/~dylan/mtpe/geosphere/topics/map/map1.html#proj 5 http://geokov.com/education/map-projection.aspx but © USGS 6 © 2013 Carlos A Furuti, http://www.progonos.com/furuti/MapProj/Normal/ProjCon/ProjConNP/projConNP.html 7 http://kartograph.org/showcase/projections/#robinson 8 © 1997 Carlos A Furuti, http://www.progonos.com/furuti/MapProj/Normal/ProjPCon/projPCon.html#Werner1 9 © 1997 Carlos A Furuti, http://www.progonos.com/furuti/MapProj/Normal/ProjPoly/projPoly2.html#gnoct