spatial analysis using the national pupil database

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Dr Alex D Singleton Spatial Analysis using the School of Environmental Sciences National Pupil Database

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This is a talk I gave for the 2011 PLUG conference: http://www.bris.ac.uk/cmpo/events/2011/plug/index.html

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Page 1: Spatial Analysis Using the National Pupil Database

Dr Alex D SingletonSpatial Analysis using the

School of Environmental Sciences

Spatial Analysis using the

National Pupil Database

Page 2: Spatial Analysis Using the National Pupil Database

Content

• Geographic referencing and the NPD

• Indicators and Geodemographics

• Catchment models

• Mapping and the Geoweb• Mapping and the Geoweb

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GEOGRAPHIC REFERENCING

Putting people and schools on the map...

% Level 4-5 Qualifications (2001 Census)

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Households

Building Blocks

Pupils Postcodes

~15-25 addresses in a postcode

Page 5: Spatial Analysis Using the National Pupil Database

Building Blocks

• School locations

– Derived from postcode + Edubase

• Caveats

– Postcodes come from PLASC – state schools– Postcodes come from PLASC – state schools

• Independent pupils lack spatial reference

– Spatial Resolution

• LSOA

• OA if you are nice to DfE!

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Min: 40 households &100 people

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Min: 1,000 residents; 400 households. Av 1,500 residents

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Min size of 5,000 residents, 2,000 households

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Min size of 5,000 residents, 2,000 households

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INDICATORS AND

GEODEMOGRAPHICS

Social and spatial characteristics

Output Area Classification

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Indicators and Geodemographics

• Linked to NPD

– Composite Measures:

• Income Deprivation Affecting Children Index

– LSOA; Part of IMD– LSOA; Part of IMD

• Geodemographics

– Output Area Classification (Output Area)

– ACORN (Postcode)

– Raw variables

• Council Tax bands; JSA etc... plus lots more..

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Example: GCSE Grade Profiles2009 GCSE Grade A*

15

20

25

30%

E

Wealthy AchieversHard Pressed

0

5

10E

Entries

A*

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Students Achieving 5 A*-C Grades

at GCSE in 2009

75%

35%

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Data Link

DCSF

HESA (0)

HESA (+1)~20%

Direct Entry

Gap YearKey Stage 5

HESA (+1)

HESA (+2)

Gap Year

Gap Years

National Targets = 18-30 Age Range

Page 18: Spatial Analysis Using the National Pupil Database

40

50

60

70

80

HE Progression R

ate w

ith 95% C

onfidence Intervals (%)

Wealthy Achievers Urban Prosperity Comfortably Off Moderate Means Hard Pressed

Inner City

Adversity

Asian

Communities

Home owning

Asian family areas

0

10

20

30

1 2 3 4 5 6 7 8 9 10

11

12

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HE Progression R

ate w

ith 95% C

onfidence Intervals (%)

Low income, singles, small

rented flats

Low income, singles, small

rented flats

Flows – KS4

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1.0

2.0

3.0

4.0

5.0

6.0

1A:Wealthy Executives

1B:Affluent Greys

1C:Flourishing Families

2A:Prosperous

Professionals

2B:Educated Urbanites5A:Struggling Families

5B:Burdened Singles

5C:High-Rise Hardship

5D:Inner City Adversity

Subject Profiles

0.0

2B:Educated Urbanites

2C:Aspiring Singles

3A:Starting Out

3B:Secure Families

3C:Settled Suburbia3D:Prudent Pensioners

4A:Asian Communities

4B:Post-Industrial Families

4C:Blue-Collar Roots

5A:Struggling Families

Medicine and Dentistry

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2.0

4.0

6.0

8.0

10.0

12.0

14.0

1A:Wealthy Executives

1B:Affluent Greys

1C:Flourishing Families

2A:Prosperous

Professionals

2B:Educated Urbanites5A:Struggling Families

5B:Burdened Singles

5C:High-Rise Hardship

5D:Inner City Adversity

Subject Profiles

0.0

2B:Educated Urbanites

2C:Aspiring Singles

3A:Starting Out

3B:Secure Families

3C:Settled Suburbia3D:Prudent Pensioners

4A:Asian Communities

4B:Post-Industrial Families

4C:Blue-Collar Roots

5A:Struggling Families

Mathematical and Computer Sciences

Page 21: Spatial Analysis Using the National Pupil Database

Blue Collar Communities

LegendLegend

20 students

50 students

100 students

200+ students

Page 22: Spatial Analysis Using the National Pupil Database

Prospering Suburbs

LegendLegend

20 students

50 students

100 students

200+ students

Page 23: Spatial Analysis Using the National Pupil Database

CATCHMENT MODELS

Where can I go to school?

Catchment Map of E Leeds

Page 24: Spatial Analysis Using the National Pupil Database

http://www.udel.edu/johnmack/frec480/cholera/cholera2.html

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MAPPING AND THE GEOWEB

Profiling for the public

Target Schools for University Oxford

Page 35: Spatial Analysis Using the National Pupil Database

OpenStreetMap

Datagreat_britain.osm

(.xml)PostgreSQL DB

with PostGIS

osm2pgsql

NASA’s

SRTM

DEMs

GDAL ToolsUKBorders

English MSOAs

and Postcodes

PLASC/NPD

OAC

Shapefiles

ArcGIS

Color

Brewer

PerryGeo

HillshadingOSM

Tiles

TilesPLASC/NPD

mySQL

DB

Schools Atlas

IDACI

OpenLayers (.js)

HEFCE POLAR

Mapnik

OSM Tiling

Script (.py)

Stylesheets(.x

ml)

AJAX

Requests

PVC

(.kml)

OAC R

Google

Chart API

Tiles

Chart

Cache

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