Chapter 2 Flashcards
Nominal Data
values that name or identify an object, such as a street name.
Categorical Data
Data that place objects into unranked groups; examples are land use or geology data.
Numeric Data
values stored as numbers rather than as names or categories.
Unique Values Map
A map type in which each attribute value is assigned its own symbol
Ordinal Data
Rank objects without a regular scale.
Ratio Data
Data having a regular scale of measurement and a natural zero point, such as precipitation or population.
Interval Data
Values that follow a regular scale but have no natural zero point, such as degrees Celsius or pH.
Graduated Symbol Map
A map that divides numeric data from a line or point feature class into classes based on value and displays the classes with different size or thickness of symbols.
Proportional Symbol Map
A map that displays attribute values with marker or line symbols that are proportional in size relative to the value of the feature.
Graduated Color Map
A map that divides numeric data from a polygon feature class into classes based on value and displays the classes with different colors.
Choropleth Map
Maps in which each feature, such as a a state, is colored according to the value in a data field.
Normalized Data
To divide the values of an attrubute field by the total of the field or my the values in another field.
Dot Density Map
A map representing attribute values by a proportional number of randomly place dots.
Chart Map
Map showing several different attributes in chart form, with one chart for each feature.
Thematic Rasters
A raster that contains categorical or nominal data values, such as land use codes or soil types.
Unique Values
A map type in which each attribute value is assigned its own symbol.