Recently I’ve been having a bit of fun exploring ways to visualise spatial data more effectively. I’ve long been an enthusiastic advocate of data visualisation techniques and I also have a lot of background with spatial data, having spent several years as the architectural lead on the Landonline project, which captured all of New Zealand’s land records, so combining the two interests seemed a natural thing to do.
In a previous blog entry (Calculating Percentiles with Tableau.) I discussed ways to visualise the distribution of transaction response times and showed how a percentile chart and a scatter plot can provide a very effective and complementary pair of views of the same data. In particular, I described how to make that viable with large datasets.
While our Performance Engineering team is usually more concerned with systems and software, the recent events in Christchurch have made us all think a little more about the Engineering of Buildings. I, like most Wellingtonians, am acutely aware of the risk we also live with everyday.
On Friday the Wellington City Council released a list of Buildings in Wellington that they consider an Earthquake risk. In the below Tableau data visualisation you might want to take a look at your home and work addresses and assess the known issues in your immediate surroundings. You can zoom around by selecting “Zoom with Mouse” in the menu list under the arrow cursor icon. You can zoom out with <ctrl> <click> or reset view with Revert All.
I was at the Tableau data visualisation conference in Seattle when the Christchurch quake struck NZ in September, so I couldn't resist getting hold of some earthquake data from GNS and seeing what it looked like.
Ever since I got home I've been meaning to write this up for the blog, but I got busy as soon as I got back and never got around to it. But inspired by the boxing day aftershocks, plus some visual presentation ideas I got from this posting on Robert Mundigl's Clearly and Simply site, I finally got around to finishing it off.