Symbolizing Data in ArcView's Legend Editor
Open a project in Arcview and double click on a theme in the legend
to bring up the legend editor.
Under "legend type" you can choose one of the following types of symbolization:
Unique values map:
a different color is used to symbolize each value in an attribute.
Three types are common.
Attributes that describe the name, type, condition, or category
of a feature.
Attributes containing measurements or quantities that are already
classified (0-5, 6-10).
Attributes that uniquely identify features.
examples include:
states by name, countries by type of government,
Graduated color maps:
have a series of symbols whose colors change according to the
values of a particular attribute.
examples include:
temperature, property tax,
Graduated symbol maps:
Are similar to Graduated color maps, except the variation is in
the size of a point or the width of a line symbol.
Most useful for showing rank or progression, such as the size
of cities, or the traffic volume on roads.
Dot Density maps:
symbolizes polygon features using dots inside the polygon to represent
an attribute value. Each dot represents a specific value. Warning:
dot density is among the most misused ways of symbolizing data.
Classification methods
In the legend editor, click on the "classify" button
in order to change the method used to create categories for that
theme.
Natural Breaks:
This method identifies breakpoints by looking for groupings and
patterns inherent in the data. Boundaries are set where there
are relatively big jumps in the values.
Quantile:
each class is assigned the same number of features. (the first
five, second five, third five, etc.)
Equal Area:
classifies polygon features by finding breaking points in the
attribute values so that the total area of polygons in each class
is approximately the same. (These are typically similar to quantile
classes.)
Equal interval:
divides the range of attribute values into equal sized subranges.
For example, if temperature ranges from 0-100, with 5 categories
--> 0-20, 21-40, 41-60, 61-80, 81-100.
Standard deviation:
shows you the extent to which an attribute's values differ from
the mean of all the values. Arcview finds the mean value, and
then places class breaks above and below the mean at intervals
of either 1, .5, or .25 .
If you normalize an attribute, Arcview divides each of its
values by another number to come up with ratio values. Find the
legend editor's "normalize by" pop-up menu (below the
classification field) to choose a way.
Two ways:
Normalize by "percent of total" enables you to communicate
the relative size or importance of something. (% rather than volume).
Normalize by the values in another attribute. When normalizing
data by another field, you can take into account the spatial variation
in another phenomenon that might influence or control the attribute
you are classifying the theme with.
e.g. sales values by state may be normalized by population to
minimize the influence of varying population to give you a better
idea of how sales are going in states with big and small populations.
If you normalize the population by the area, you get a map showing
population density.
Based on the ESRI manual "Using Arcview GIS" 1996 pp.98-111