Cartograms
Conceptual
basis for using a cartogram: The cartographer sales the size of
the artificial collection units (chorograms) proportional to the data
value each unit represents. These are also called "value-by-area
maps".
When
to select this mapping method:
-
Data
can be, absolute (raw) or derived, of interval or ratio measurement
level, and must be aggregated via artificial collection units.
- There is no data
generalization, i.e., no classificaiton of data into separate classes.
- A cartogram is
most effective if large areas (chorograms) have small values, and small
areas (chorograms) have large values. In other words, if data values
correlate negatively with the area of size of the chorogram, the cartogram
is a likely candidate for a mapping method.
- Note: If data value
correlates positively with size of the enumeration unit, then don't
use a cartogram.
Two Basic Forms
Contiguous:
The internal numeration units are adjacent to each other.
Non-Contiguous:
Does not preserve the boundary relationshiops between the internal enumeration
units. the enumeration units are placed in "more-or-less" correct
locations relative to their neighbors.
Communicating with
Cartograms
Advantages
of using a cartogram:
- To shock the reader
with unexpected spatial peculiarities.
- To develop clarity
in a map that might otherwise by cluttered with unnecessary detail.
- To show distributions
that would, if mapped by conventional means, be obscured by wide variation
in the sizes of the enumeration areas.
Disadvantages
of using a cartogram:
- Some map readers
really do not like the look of cartograms-they percieve them as being
too far from reality.
- Map readers may
not be able to figure out what message that the cartogram is trying
to convey-usually due to misunderstanding the logic of the mapping method.
- It may be difficult
to make a mental connection between highly distorted enumeration units
and the "real-world" counter parts.
|
|
Methods
for Scaling Circles:
- Absolute Scaling:
The direct proportional scaling of magnitudes of the symbol's area:
- Apparent-magnitude
scaling: This method is perceptually based and compensates for underestimation
of symbol values, during the scaling process, symbol sizes are inflated
to compensate for underestimation.
- Range-graded scaling:
The data are divided into groups, using classification procedures common
to choropleth mapping. The design goal is for symbol size discrimination,
rather than magnitude estimation. The cartographer chooses symbol
sizes for adjacent classes so that the map reader can easily distinguish
between circle sizes, and therefore, categories.
|