Part One: Making Choropleth Maps:

• These maps are useful for visualizing the spatial distribution of one variable and provide the building blocks for further analysis. In addition they can be reclassed for boolean analysis if desired/useful.

Countrywide (State Level):

• Election Map
• % Margin of Victory
• Where did third party candidates (Ralph Nader and Pat Buchanan) potentially impact the outcome?

Cartographic Model
Alternative Cartographic model using overlay instead of using calculate field values and exporting an attribute values file

Florida (County Level):

• Margin of Victory for each County
• % in Poverty
• Median Income
• % High Income Households
• Proportion of Minorities
• % People with High School diplomas or higher
• % People with University degrees or higher
• Serious crimes per 100,000

Cartographic Model

Note: All the above images were produced by exporting attribute values files out of the database workshop in Idrisi and using ASSIGN to create choropleth maps on a raster image of counties or states.

Part Two: Making 3D (ortho) images with the Choropleth maps
 

• These maps are useful for seeing if there is a correlation between two variables
 
Florida (County Level):
 
• Rejected ballots and winner
• % Rejected ballots and winner
• Proportion of Minorities and winner
• % People with University degrees and winner
• % People with High School or higher and winner
• Serious Crime and winner
• % in Poverty and winner
• Median Income and winner
• % High Income Households and winner

Cartographic Model

Note: The 3D ortho images were created with an exaggeration of 2