This document discusses how geographic information systems (GIS) can be used to collate, store, analyze, and visually display data on maps. It provides examples of how GIS can create heatmaps to show concentrations of data points or attribute values. GIS uses Ordnance Survey data sets to accurately map locations down to the street level. The service can analyze additional data from colleges, like learner details, course information, and performance data to provide geographical representations and insights.

1. Data Mapping:
Developing FE and HE market intelligence
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2. Geographical Information Systems are able
to collate, store and analyse data to
produce visual images, usually maps, to
quickly show the impact of a set of
parameters.
GIS uses Ordnance Survey data sets (Vector
and Raster) and is a reliable geographical
representation globally down to street level.
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3.  Heatmaps representing concentration of
points.
 Heatmaps representing distributions of
attribute values
The service provides additional levels of analysis
to college held data i.e. ILR data, CRM data,
Course directories, staff CPD data
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4.  Learner/Staff details – age, gender, home postcode, prior level of
attainment.
 Course details – Type of Programme (Apprenticeship, Study
programme, Full cost) Sector Subject Area, Course by code, by Level
of study, by awarding organisation.
 LLDD and Health Problem – additional information about a learner’s
disabilities, learning difficulty and/or health problem.
 Learner Funding
 FE/HE Financial support
 Employment Status
 Marketing deployed to date
 Existing and new market intelligence for employers and local
businesses
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5.  UK mapping is a sophisticated and complex
system - various types of map can be
produced to add to the detail of analysis:
 Administrative boundaries; Counties, Districts,
Local Area Partnerships all provide operational
areas for Education & Training providers.
 The Transports Networks are vital to Land based
Colleges and their students. Bus, rail and road
mapping can all be applied with attributes.
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6. www.Landex.org.uk
Datasets
We currently have data sets to
show the position and specific
attributes for all FE providers,
performance data and external
quality ratings.
We have location data for all
Schools including those
with/without sixth forms
We have route mapping for all
bus stops, road and rail
nationally.

7.  Identify high concentrations and gaps in
provision locally/regionally/nationally.
 Justification of course offering in relation to
local employers.
 Accurately Map local providers to develop
effective marketing strategies i.e. potential
competitors in relation to current recruitment
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8.  Since 2010, More than 400 new free schools and
technical schools have been approved across
England, amounting to more than 200,000 new
school places1.
 These include; Free Schools, University Technical Colleges, Studio
Schools, Academies, City Technology Colleges.
 In addition to FE College with Residential Provision, General FE &
Tertiary College, Specialist College, Private Training Providers,
Universities and Employers.
 Accurate Mapping becomes more important in a crowded provider
environment.
1 https://www.gov.uk/government/news/unprecedented-number-of-new-schools-opened-since-2010
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9. www.Landex.org.uk
Green Dots = Learners studying Animal Care level 2
Purple dots = Competitors offering the same programme
Heat map represents the number of bus stops along a route.
Green curve shows potential gaps in recruitment for further research.
Example
(simplified for Data protection)

10.  Plot high numbers of points to millimetre accuracy to improve
visual impact.
 Show distribution in heatmap or physical marker format.
 Overlay layers of data to compare multiple datasets on the same
map.
 Adjust every aspect of the map inc; size on screen, scale
geographical boundaries, 1000’s of different marker combinations.
 Produce high quality maps with attribute tables and metadata
included.
 Add analysis to maps via external shapes and graphics and add
commentary to all areas.
 Add branding, colour schemes, logos.
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