Post on 05-Dec-2014
description
Dr Alex D SingletonSpatial Analysis using the
School of Environmental Sciences
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
GEOGRAPHIC REFERENCING
Putting people and schools on the map...
% Level 4-5 Qualifications (2001 Census)
Households
Building Blocks
Pupils Postcodes
~15-25 addresses in a postcode
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!
Min: 40 households &100 people
Min: 1,000 residents; 400 households. Av 1,500 residents
Min size of 5,000 residents, 2,000 households
Min size of 5,000 residents, 2,000 households
INDICATORS AND
GEODEMOGRAPHICS
Social and spatial characteristics
Output Area Classification
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..
Example: GCSE Grade Profiles2009 GCSE Grade A*
15
20
25
30%
E
Wealthy AchieversHard Pressed
0
5
10E
Entries
A*
Students Achieving 5 A*-C Grades
at GCSE in 2009
75%
35%
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
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
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
HE Progression R
ate w
ith 95% C
onfidence Intervals (%)
Low income, singles, small
rented flats
Low income, singles, small
rented flats
Flows – KS4
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
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
Blue Collar Communities
LegendLegend
20 students
50 students
100 students
200+ students
Prospering Suburbs
LegendLegend
20 students
50 students
100 students
200+ students
CATCHMENT MODELS
Where can I go to school?
Catchment Map of E Leeds
http://www.udel.edu/johnmack/frec480/cholera/cholera2.html
MAPPING AND THE GEOWEB
Profiling for the public
Target Schools for University Oxford
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
Chart API
Tiles
Chart
Cache
www.alex-singleton.comwww.alex-singleton.com