Chapter 10. Graphs on maps: the where of graph visualization

 

This chapter covers

  • How to display geographic data
  • The pros and cons of showing graphs on maps
  • Implementing graphs and maps in KeyLines

Data visualization is about using data to answer questions. “How are these people connected?” “Who is connected to whom else?” “When did those connections happen?” are examples. In chapter 9, we talked about strategies for answering the when question, and now we’ll work through how to answer the where. Unsurprisingly, to figure out where things happened, we need to use maps. So, the short answer is to put your graph on a map where the position of the nodes corresponds to the geographic location of those nodes, but it’s often not that simple. In this final chapter, I’ll walk through some strategies for visualizing graph data when there’s a location component to it and show some hypothetical situations where there isn’t yet a good solution. By the end of the chapter, you’ll have some strategies for what to show when your graph data include locations.

10.1. Working with geographical data

 
 
 
 

10.2. Overlaying graphs on maps

 
 
 
 

10.3. Building graphs on maps

 
 
 
 

10.4. Summary

 
 
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