Visualizing Spatial Relationships
Nathan Yau · 2015
Maps are read in the same way as statistical graphics. This chapter discusses several spatial datasets, looking for patterns over space and time. The difference is that instead of x- and y-coordinates, we deal with latitude and longitude. Basically, we take an address, give it to a service, the service queries its database for matching addresses, and then we get latitude and longitude for where the service thinks our address is located in the world. After we have our color scheme, we need to decide how the colors we picked match up to the data range, and assign these colors to each region based on our choice. This can be done with Python and Scalable Vector Graphics (SVG). The chapter presents several examples that prove that there are a lot of possibilities for what we can do with spatial data. ActionScript, Flash, and JavaScript are some other options available.