Black and White Aerial Photo

http://pubs.usgs.gov/of/1995/of95-017/

Black and white aerial photos are some of the most common map types that we have today. They are very useful because they give another perspective of some areas and allow viewers to better survey the area. The picture above is a photo of Mamala Bay, Hawaii.

Lidar

http://www.noaanews.noaa.gov/stories/s798b.htm

Lidar is a tool that maps things on the earths surface using laser pulses and GPS to come up with this incredibly detailed outline of the city. This Lidar photo was takes pre 9-11 attacks in Manhattan and display the city and vegetation around it. This could be considered a map because not only to you get the ariel shot of the city, but you also are able tell elevation heights by the color of each building. The reddish color seen on top of some of these building are indication that they are extremely tall.

Standardized Choropleth Map

http://www.cdc.gov/pcd/issues/2007/oct/07_0091.htm

Standardized Choropleth Maps display standardized data that has been areally averaged so it can be compared to places of different sizes. It also uses different colors to represent the numbers being conveyed to the viewer. These maps are particularly useful because it allows you to compare places with different populations. In the example above, the map displays the percentage is individuals that are overweight throughout the United States.

Classed Choropleth Map

http://johnkeim.blogspot.com/2010/04/classed-choropleth-maps.html

A classes choropleth map uses colors to show different degrees of a certain variable across a particular area. These maps are very effective because they are easy to understand and allow people to compare neighboring areas. In this example, the state of Florida is being divided up and classified into the counties with the most Hispanic or Latino people living there. The darker the green, the more Hispanic or Latin influence.

Bivariate Choropleth Map

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

A bivariate choropleth map uses colors and boundaries of two separate variables and combines them into one graph. Insurance rate and cancer rate are the two variables being examined in the example above and you can see how both are being displayed in one map.

Correlation Matrix

http://yin.che.wisc.edu/images.htm

A correlation matrix is a certain map type that is able plot correlations between certain sets of data. In this example, the matrix is showing the relationship between T7 proteins. As you can see from the scale located on the right side of the diagram, red suggests a strong correlation while the blue shows a weaker correlation. To locate the correlation between the two variables, you need to find the value in the table for the row and column intersection for those two variables.

Statistical Maps

http://personalpages.manchester.ac.uk/staff/m.dodge/cybergeography/atlas/census.html

Statistical maps show the difference between a certain areas in the subject that is being discussed. It uses statistics to come up measurements being displayed, and a color for each object. In the example above, international connectivity to the internet is being compared throughout the world. It shows that most people are able to connect to the internet in todays society with a purple hue, and shows the less fortunate countries with a green, red, and yellow color.