Star Plot

A Star Plot is a type of map that allows its viewer to quickly compare the relative behavior of multiple variables in a given set of data. A Star Plot is comprised of multiple equi-angular spokes, called "radii". Each radii is responsible for representing a unique variable in a set of data.

This particular Star Plot displays 16 types of vehicles, and compares nine different qualities such as price, gas mileage, trunk space, etc. This Star Plot makes it relatively easy to draw multiple conclusions about each vehicle. For example, a quick glance at the Cadillac Seville's graph will tell you that it is one of the most expensive vehicles, it has an average repair record and below average gas mileage.

http://www.ask.com/wiki/Radar_chart 

DEM

A Digital Elevation Model is a type of map that is used to represent only the height information of surfaces. This map completely abandons any further information about the terrain. There are many uses for a Digital Elevation Maps. Models representing water flow, terrain analysis, line-of-sight analysis, base mapping and precision farming and forestry are just a few examples of these uses.

This particular Digital Elevation Model displays the Japanese city of Isehara, Kanagawa Prefecture and its surrounding areas. This map, like many DEM maps puts more emphasis on the vertical scale than the horizontal scale to enhance the differences in the terrain's height.

http://www.acrors.ait.ac.th/adeos/feature/adeos.htm 

Bivariate Choropleth Map

A Bivariate Choropleth map is a map that uses a single map to display two variables by combining two different symbol or number sets. This map displays two sets of events simultaneously. The main objective of a bivariate map is to find a simple method for accurately and graphically illustrating the relationship between two spatially distributed variables. 

The map shown compares small multiple maps f cancer rates and amounts of health insurance. Use of the multiple technique will allow the maps viewer to break down the population even further, by race and type of cancer.

https://www.e-education.psu.edu/geog486/book/export/html/1717

Classed Choropleth Map

A Classed  Chorolpleth Map is a type of thematic map that utilizes color shadings to differentiate among a certain class attribute value. This map type portrays data that shows the distribution of males per every 100 females throughout the United States.The state of Nevada actually has more males than females according to this graph.

http://my.ilstu.edu/~jrcarter/Geo204/Choro/

Univariate Choropleth Map

A Univariate Choropleth Map is a map that uses colors to differentiate among data. This map uses only one data type. 

The map displayed shows a statewide estimated household income. This graph is highly useful in emphasizing demographic patterns and other differences.

http://www.colocarto.com/custom-thematic-maps.html 

Standardized Choropleth Map

A Standardized Chorolpleth map is a map that uses colors to differentiate among different percentages of numerical data. The data in this graph tends to be averaged or a percentage, not a raw number. 

The map shown displays the percentage of population that is below the age of 14 years old in 2006 in Canada.

http://www.statcan.gc.ca/pub/92f0138m/2008003/figures/5200001-eng.htm 

Unstandardized Choropleth Map

A Nominal Area Chorolpleth Map is a thematic map that is used to describe something about a predefined areal unit. By the use of different colors, it is easy for the maps viewer to make inferences about the map by simply looking at a color of a certain area on the map. Each different color on the map represents a different quartile. These maps use numbers which are raw, and have not been averaged.

The map shown displays how much money a certain school district spends on each child in it's school system. The darkest-shaded counties are those which have spent the greatest amount of money on their students, while the lightest-colord counties have not spent as much money on theirs. 

http://personal.uncc.edu/lagaro/cwg/color/color_symbol.html