Spatial representation of data is a main focus of GIS. Visual analytics offers a complementary perspective by separating the data from its spatial element in order to show relationships between variables in a more direct format. Scatterplots are useful tools for accomplishing this goal.
This project introduces scatterplots as a complementary tool to GIS. The first section discusses their capabilities with a demonstration of their use in a GIS legend. The second section is an interactive data visualization -- make your own scatterplots! Explore 2010 census block group data in your county with this easy-to-use web tool.
The goals of this project are:
The scatterplots below show the distribution of percentages of African American and Minorities across 3 counties. Each county has its own pattern that tells a different story. Miami-Dade County has a high percentage of minorities that are not African American. Volusia County has a much different distribution.
Scatterplots can complement GIS maps by providing an alternative perspective of data relationships. Scatterplots separate the data from the spatial element of the map, in order to make a clearer picture of the relationships between the data. When incorporated into the map legend, scatterplots offer an additional perspective by visualizing the data patterns.
The map below shows the relationship between Hispanics and Renting by census block group. The color scheme emphasizes the corner areas showing the high and low percentages (e.g. high/low renting and high/low Hispanic). Use the buttons to toggle between a traditional legend and one including a scatterplot.
The "center" shows the median values
The "direction" shows the trend
The "spread" shows variability. A wider range shows more variability than a compact area.
The "outliers" are anomalies. Should they be examined further?
Explore 2010 census block group data in your county with this easy-to-use web tool.