In’t Maps Brilliant: Understanding Data Through Visualisation

In’t Maps Brilliant: Understanding Data Through Visualisation Dr Daniel Vickers Lecturer in Social and Spatial Inequalities Department of Geography University of Sheffield OACUG Seminar, Royal Statistical Society, London, 15 th September 2009

Contents
Thinking of Numbers in a Different Way
Bringing Numbers to Life
Adding Place to Data
Taking the Place out Again

Thinking of Numbers in a Different Way
Numbers without context ≈0
Relative positions can be more important than values
Relative positions without values ≈0
Identifying the BIG numbers

OAC Recap
Puts all 223,060 UK Census OAs into groups based on social characteristics
Hierarchy of 7, 21 and 52 groups
1: Blue Collar Communities,
2: City Living,
3: Countryside,
4: Prospering Suburbs,
5: Constrained by Circumstances,
6: Typical Traits,
7: Multicultural.

Using statistics to understand a complex world
Understanding = Knowledge
Another 223,030 rows here

Bringing Numbers to Life I Live in a Prospering Suburb I have not got a clue what that means

1: Blue Collar Communities

2: City Living

3: Countryside

4: Prospering Suburbs Oh, I see

5: Constrained by Circumstances

6: Typical Traits

7: Multicultural

That looks like our street! Yes, but these don’t

Yes, and using, different things to visualise them helps us understand So we can use numbers to understand our neighbourhoods And maps can add to our understanding even more!

Adding Place to Data

Adding Place to Data The Dog was right!

12% of the people What a lot of Green 90% of the area

Taking the Place out Again….but increasing our understanding 12% of the people = 12% of the area

Making Maps Brilliant
data + context + visualisation = Brilliant!
areaclassification.org.uk
[email_address]
shef.ac.uk/sasi
Ahh! A talking Dog

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In’t Maps Brilliant: Understanding Data Through Visualisation

by Alex Singleton on Sep 16, 2009

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