Similarity Matrix

http://www.lonestarbands.com/bmi.asp

The map above is an example of a similarity matrix, a method geovisualization. Similarity matrix's are used to measure the similarities between two things. The similarity matrix above shows different body types according to weight and height. A key is offered too explain and distinguish each body type. Proximity of data values show how similar they are to each other.

Star Plots

http://documentation.statsoft.com/STATISTICAHelp.aspx?path=Graphs/Graph/UnderstandingGraphs/Concepts/ConceptualOverviewsIconPlots

The plots above are an example of star plots. Each plots has 6 dimensions, or radii, and the point that is plotted on each radii is a measurement being made against that radii. For instance, the Caribbean island of St. Croix has high point values on three of its dimensions, meaning the data values for those dimensions are high. These dimensions could be measurements of the island's food, beaches, or night life. Star plots are great for comparing multiple variables, like islands, at one time.

Parallel Coordinate Plot

http://vis.lbl.gov/Events/SC07/Drosophila/

The plot chart shown above is an example of a parallel coordinate plot. Parallel coordinate plots plots data values on vertical axis. Data sets are connected at each point, for instance the data set for nine select cells are being shown in the graph above. Parallel coordinate plots are great for exploring relationships between data sets.

Histogram

http://test.cita.illinois.edu/aria/longdesc/longdesc1.php

The map above is an example of a histogram. Histograms are geovisualizations that display data and the frequency of data values. The chart above is a great example of a histogram in that it shows the frequency with which a tree has a certain height. For example, the frequency that a tree is to have a height between sixty and sixty-five feet is about three.

Box Plot

http://connectmv.com/tutorials/r-tutorial/basic-plots-in-r/

The chart above is an example of a box plot. Box plots geovisualizations that present data in a statistical way, They are great for measuring means and medians to data, and observing data value distribution. Also, they are great for comparing multiple data sets. For example, the graph above is comparing data sets taken on every day of the week.

Population Pyramids

http://www.bbc.co.uk/schools/gcsebitesize/geography/population/population_change_structure_rev5.shtml

The graph above is an example of a population pyramid. Population pyramids are used for geovisualization, as they display data regarding a society's population. Specifically, they show the gender and age distribution within the population. The population pyramid above shows data about Mozambique. As you can see there are far more young people than old, an indication that the country's people suffer from lower life expectancy. But the baby boom any equal gender level indicates the population will soon grow.

Scatter Plot

http://allpsych.com/researchmethods/correlation.html

The graph above is the perfect example of a scatter plot. Scatter plots general measure one variable against another variable, unlike line graphs which measure a variable against time. Data points are graphed as dots, and then a trend line is drawn to show the trend in the data as well as the spread of the data. The graph above shows the income level of experienced workers. It shows a positive relationship between the years of experience of a worker and his income level, as the trend line increases toward the right along with data values.