GIS DAY Belgium mike tacker_porism

Nov 26, 20130 likes427 views

This document discusses how geo-analysis and open data can be used to implement evidence-led policy. It describes analyzing socio-economic metrics and profiles by area across Europe to identify groups with similar characteristics. Examples are given of profiling metropolitan and rural areas. Further information is provided on metrics, dimensions, and tools for small area analysis in the UK and Europe.

Geo-analysis for implementing policy
Analysis of the socio-economic profiles
in Europe
Mike Thacker, Porism Limited (UK)
Kortrijk – 20 November 2013

To discuss
1. Evidence-led policy
2. Metrics structures
3. Example data analysis by area
4. Socio-economic profiles
5. Profiling by area across Europe
6. Small area profiles
7. Natural neighbourhoods
8. Further information

How open data applied to geography can
influence and be used to implement policy

Evidence-led policy
Policy

Metrics

Increase healthiness /
quality of life

Obesity
Psychiatric illness
Cardiac illness

Dietary advice, School meals
Green spaces,
Recreational facilities

Increase economic activity

Employment
Street crime
Educational attainment

Careers advice
Policing, CCTV
Schooling, Adult education

Safer roads

Road accidents

Traffic control, Signage

Policy

Services

Metrics

Policies

determine

Services

Metrics structure
Examples
• Miles of roads
• Road accidents
• Spending on roads

Metric
type

has
Metric
value

has

has

Date/
Time

At a point 2012
or
Over a period 2010-12
2011/12

has

Dimensions

Examples
• Age
• Gender
• Severity

has

governs

Organis
ation

Example
• Norfolk County
Council £75.3M
Σ EoE £573.2M
Σ England £208.8M

Area

Example 6,142.5 353
• Norfolk administrative area
• East of England 24,027.8 2,473
• England 183,003.4 21,534

Example data analysis
Full report: Live PDF

Socio-economic profiles
• Use statistical clustering techniques to see
which groups have similar metrics values
• Label these groups and describe their
characteristics
• Identify services and message which modify
outcomes for each

Where different groups live

http://insight.esd-toolkit.eu/

Small area metrics analysis

UK small area metrics report

Natural neighbourhoods
Unofficial geographies

URI

Further information
• European / North Sea profiles http://insight.esd-toolkit.eu/
• UK:
– Metric types http://id.esd.org.uk/list/metricTypes
– Dimensions (Circumstances) http://id.esd.org.uk/list/circumstances
– Municipalities http://opendatacommunities.org/data/local-authorities
– Administrative areas http://statistics.data.gov.uk/doc/statisticalgeography/
– Natural neighbourhoods: http://neighbourhoods.esd.org.uk/
– Tools http://about.esd.org.uk/

• Opening Up resources http://www.opening-up.eu/

Mike.Thacker@Porism.com

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GIS DAY Belgium mike tacker_porism

1. Geo-analysis for implementing policy Analysis of the socio-economic profiles in Europe Mike Thacker, Porism Limited (UK) Kortrijk – 20 November 2013

2. To discuss 1. Evidence-led policy 2. Metrics structures 3. Example data analysis by area 4. Socio-economic profiles 5. Profiling by area across Europe 6. Small area profiles 7. Natural neighbourhoods 8. Further information How open data applied to geography can influence and be used to implement policy

3. Evidence-led policy Policy Metrics Increase healthiness / quality of life Obesity Psychiatric illness Cardiac illness Dietary advice, School meals Green spaces, Recreational facilities Increase economic activity Employment Street crime Educational attainment Careers advice Policing, CCTV Schooling, Adult education Safer roads Road accidents Traffic control, Signage Policy Services Metrics Policies determine Services

4. Metrics structure Examples • Miles of roads • Road accidents • Spending on roads Metric type has Metric value has has Date/ Time At a point 2012 or Over a period 2010-12 2011/12 has Dimensions Examples • Age • Gender • Severity has governs Organis ation Example • Norfolk County Council £75.3M Σ EoE £573.2M Σ England £208.8M Area Example 6,142.5 353 • Norfolk administrative area • East of England 24,027.8 2,473 • England 183,003.4 21,534

5. Example data analysis Full report: Live PDF

6. Socio-economic profiles • Use statistical clustering techniques to see which groups have similar metrics values • Label these groups and describe their characteristics • Identify services and message which modify outcomes for each

7. Example: Metropolitan strugglers

8. Example: Rural inheritance

9. Where different groups live http://insight.esd-toolkit.eu/

10. Small area metrics analysis UK small area metrics report

11. Natural neighbourhoods Unofficial geographies URI

12. Further information • European / North Sea profiles http://insight.esd-toolkit.eu/ • UK: – Metric types http://id.esd.org.uk/list/metricTypes – Dimensions (Circumstances) http://id.esd.org.uk/list/circumstances – Municipalities http://opendatacommunities.org/data/local-authorities – Administrative areas http://statistics.data.gov.uk/doc/statisticalgeography/ – Natural neighbourhoods: http://neighbourhoods.esd.org.uk/ – Tools http://about.esd.org.uk/ • Opening Up resources http://www.opening-up.eu/ Mike.Thacker@Porism.com

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GIS DAY Belgium mike tacker_porism

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