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How to lie with Flood Maps

How to lie with Flood Maps

Reading Time: 3 minutes

The title of this post is drawn from Mark Monmonier’s entertaining book, which I remember from my Geography degree. Maps can be fantastic ways of conveying complex spatial information. However, like speeches and presentations, maps can also be subject to bias, in both what is presented and what is ignored. Exercising a degree of skepticism when reading a map is good practice, and helps minimise misinterpretation.

Following severe storms and flooding in many areas of the UK last week the Environment Agency issued this tweet with a picture of a map (which I’ve included as an image so you don’t have to click away)…

At the time, many areas of the east coast were being flooded directly and consequently the level of media attention was relatively high, with several outlets picking up on this ‘good news story’. I’ve included a couple of lines from this Evening Standard article from 8 December which included this map.

Thames Barrier saved London from flood chaos in tidal surge

Submerged: vast swathes of London would have been underwater if the Thames Barrier had not shut. This apocalyptic picture shows the devastation London would have faced if the Thames Barrier hadn’t protected the capital from the worst tidal surge in 60 years.Vast swathes of London would have been submerged but for the defences, experts predicted.

The original EA tweet is technically accurate, the shaded area shows the areaprotected by the barrier. However, to tweet it during active flooding may have led to some misinterpretation. It is NOT a map showing the area which would have been flooded had the Thames Barrier have been non-operational last week.

Whilst the events of last week were significant, they were not approaching the 1 in 1000 year flood events that the EA modelling is based on. Had the Thames Barrier not been in place last week, tide levels would have peaked at 0.2m below the top of flood defences. So rather than ‘vast swathes of London being submerged‘ actually, all of the water would have been confined to the river channel.

My main issue with the map is not that it exists, but the way in which it has been interpreted. It’s a useful planning tool to describe possible flood extent (which is one of London’s top risks), but don’t be fooled into thinking that because a map is released at the time, it represents the current situation.

And whilst I’m moaning about maps…why choose to only show that area? Predicted flood impacts clearly extend beyond the map view chosen, so why exclude the other areas? Yes, I expect people are familiar with those particular river bends from Eastenders, but it would have provided a more complete picture similar to that in the London Regional Flood Risk Assessment (although this shows flooding of mutiple types).


Don’t be intimidated by maps – they can help uncover patterns and spot relationships that other ways of presenting data can’t, just keep a couple of things in mind when reading and interpreting them:

  • What does the map show ? – try to find out as much as you can about the data. When was the data collected? Was it summarised or simplified before being displayed?
  • What doesn’t the map show ? – this might be as simple as features, or in this specific case, it might be that it doesn’t show what other people have suggested it does
  • Who made the map? What are they trying to get you to take away from looking at it?

Have you spotted any misleading or hard to interpret disaster maps? I’d love to see other examples!


GIS: Where are we?

GIS: Where are we?

Reading Time: < 1 minute

Last Friday I presented to the London trainee and Student GIS Community who were discussing ‘Geographical Information Systems for Natural Hazards Preparedness and Response’.

I was second on the agenda following an interesting presentation from Dr Richard Teewu at Portsmouth University, who talked about his approach and the role of GIS in considering landslide hazards in Dominica (Caribbean). One of the main aspects that Richard highlighted was the issue of data poverty in the developing world. In the questions that followed his talk, it became clear that this is a particular issue where infrastructure or political regime prevents continual monitoring or the use of remotely sensed data.

My presentation, which is included below, explored how GIS is currently used in London for resilience work, and provided my personal views on where I thought it could head over the next ten years.

What struck me about the two presentations is that whilst the UK can’t be considered data poor, there are other factors which limit the use of GIS in a resilience context. One of the aspects that my presentation touched on was the increasing role of volunteer and informal initiatives (such as Crisismappers and Ushahidi) and I’m convinced that this is an untapped resource that has lots to offer.