In a few past posts I explored the data on London Fire Brigade incidents, and given the wealth of interesting informtation it contains (more for identifying anecdotes for the pub than anything else) I may return to the theme again.
However, what really got me thinking was the number of ways that you can present data to try and get a message across. Very often a table is the easiest, albeit least sexy way of doing this. However, when there's a geographic dimension, I think a map can be very power if done well, but one's ability to do this may be constricted by available software. However, with a little time and patience, and using what you do have available, you can start developing ideas.
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Showing posts with label fire brigade. Show all posts
Showing posts with label fire brigade. Show all posts
Creating maps in Excel pivot tables
When I can't be bothered doing something because it's too much hassle, I like to find a work around and data analysis is no different. When I was looking to plot fire brigage data onto a map, I faced having to convert 23,000 coordinates from the Ordnance Survey National Grid into the cartographic map projection used by google maps if I would be able to plot them without buying some fancy pants GIS software. Using my knowledge of MS Excel, I was able to achieve exactly what I wanted to in less than five minutes.
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Modelling fire brigade responses
In my last post I explained some of the processing of the London Fire Brigade incident data. In this post I look at the actual data and begin to consider what the impact of the proposed closure of Bow Fire Station.
Mapping the impact of fire station closures: methodology
This post sets out my methodology for modelling the potential closure of fire stations. The actual analysis will be included in my next post.
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Fire Station Closures
With the possibility of fire stations being closed, I thought it would be interesting to look at some of the issues that may be of concern to residents of Tower Hamlets.
The data I'm using is the London Fire Brigade's incident data for the period 2009-2012. For Tower Hamlets, this is just under 23,400 lines of data (one line per incident).
Labels:
austerity,
data,
E1W,
Evidence based decision making,
fire,
fire brigade,
Geocoding,
LBTH,
open data,
response times,
Tower Hamlets
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