Case study – Political party mapping

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This first example has a single location of interest (Heathrow Airport), and each zone is a 10 minute zone up to a time of 2 hours from Heathrow. The shape boundaries clearly demonstrate the main routes radiating out from the M25 as these enable customers to travel further. In this screenshot, we are looking at the average holiday taiwan telephone number cost value for customers in each of these drivezones around the airport. I’ve used a custom colouring scheme that highlights the green ones as having higher value and the darkness of those colours that suggests that there might be a relationship between travel time to the airport and the average holiday cost.

Drivezone mapping

In this second example, our imaginary Holidays company is interested in the number of customers of theirs within 30 minutes drivetime of each of their locations of interest which are four of the major UK airports. This is a single layer map of a flag array variable (since there is an overlap between the 30-minute Gatwick and Heathrow zones). It is suggesting that the average holiday cost of customers around the Northern airports is higher than the Southern airports.

Political party mapping



For a final example, I’m going to use FastStats to replicate map visualisations which are often seen on TV election coverage. I have created a very small dataset from the 650 Westminster Parliamentary constituencies that simply has the votes recorded for each party, the winning party and some electorate details for each constituency record.