Unclassed choropleth maps

Rather then using a legend to show changes Unclassed choropleth maps show changes via shading. Each shade of color typically then represents a value, as is the case with this map fromhttp://www.princeton.edu/~rvdb/JAVA/election2004/purple_america_2004_small.gif

Bivariate choropleth maps

Bivariate choropleth maps display two variables through the use of color or some similar indicator. This map seems to indicate that the area with the higher population density had the greater population change.http://www.geog.le.ac.uk/russianheartland/DemographicMaps/images/PopulationMaps/RaionMaps/7RaionPopDenPerCh8902.jpg

Univariate choropleth maps

Univariate choropleth maps categorize data on a singular variable. This map shows population.

http://www.ats.ucla.edu/stat/sas/code/gmap.gif

Standardized choropleth maps

Standardized choropleth maps use standarized unit(s) to compare a variable. This uses population per square kilometer.http://www.bbc.co.uk/scotland/education/bitesize/standard/img/geography/population/g156.gif

Unstandardized choropleth maps

Unstandardized choropleth maps have no identified classes.http://www.epa.gov/oppt/rsei/images/thematic.jpg This map shows states.

ominal choropleth maps do not use quantitative data. Rather then using quantitative data the maps preject things such as ethnicity, height, political party, eye color, etc.. This example shows the boundaries of the countries in Southeast Asia.

http://mabryonline.org/blogs/howard/archives/map_southeast_asia.jpg

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Bilateral graph

Bilateral graphs are a visualization type that compare more then one set of data side by side. This graph compares the amount of trainees to experts to JOCVs.

http://www.mofa.go.jp/policy/oda/category/environment/pamph/2001/image/1_3.gif