Visualizing Spatial Relationships - Data Points: Visualization That Means Something - page 276

FIGurE 8-1 Mapping points framework
Although a simple concept, you can see features in the data such as clus-
tering, spread, and outliers.
MAP WITh DoTS
R, although limited in mapping functionality, makes placing dots on a map
easy. The maps package does most of the work. Go ahead and install it
via the Package Installer, or use install.packages() in the console. When
installed, load it into the workspace.
library(maps)
Next step: Load the data. Feel free to use the Costco locations that you just
geocoded, or for convenience, I've put the processed dataset online, so you
can load it directly from the URL.
costcos <-
read.csv(“http://book.flowingdata.com/ch08/geocode/costcos-geocoded
.csv”, sep=”,”)