SlideShare a Scribd company logo
Alice Thudt
Emma Tonkin
Søren Knudsen
Katarzyna Sila-Nowicka
Shantanu Pal
Distances in Migration Flows
Group ELM
Data
Census data
(UK districts)
Text mined
population from
Wikipedia
Boundaries
database
- UK
Calculated
centroids
Matrix of flows
Origin Destination
City of
London Havering Islington Redbridge Rotherham Sheffield Gateshead
Newcastle upon
Tyne Rutland Nottingham Plymouth
City of London 72 0 13 0 0 0 0 0 0 0 0
Havering 1013 3355 194 507 0 1 0 0 0 1 0
Islington 509 5 1565 8 0 0 0 0 0 1 0
Redbridge 857 257 277 2002 0 1 1 1 0 2 0
Rotherham 5 0 0 1 5330 2239 1 0 0 14 0
Sheffield 4 0 2 0 858 15591 0 3 0 23 0
Gateshead 3 1 0 0 0 1 3732 1847 0 0 1
Newcastle upon Tyne 1 0 0 0 0 2 719 6153 0 4 0
Rutland 7 0 0 0 0 0 0 0 619 12 0
Nottingham 3 0 1 0 2 7 1 0 1 6403 0
Plymouth 0 0 1 0 0 0 0 0 0 0 7111
Torbay 0 0 0 0 0 0 0 0 0 0 28
Bournemouth 3 0 0 0 0 1 0 0 0 0 1
Poole 3 0 0 0 0 1 0 0 0 0 0
Swindon 9 0 2 0 0 0 0 0 0 1 1
Wiltshire 15 3 4 0 0 2 0 0 0 1 1
Peterborough 19 1 9 1 0 0 0 1 16 3 0
Luton 73 0 25 1 1 1 0 0 0 4 0
Bedford 46 1 11 0 0 3 0 0 1 4 0
Central Bedfordshire 102 4 50 2 1 2 0 0 0 1 0
Southend-on-Sea 393 59 36 32 0 0 0 0 0 1 0
Thurrock 399 225 50 72 0 0 0 1 0 0 0
Medway 327 13 58 3 1 1 1 1 1 0 1
Bracknell Forest 19 0 5 1 1 0 0 0 0 0 0
West Berkshire 20 0 8 0 0 1 0 1 0 1 0
Spatial
representation
of data
Matrix of flows
Network of flows
Our question:
Effect of geographic distance:
Does distance matter to the
number of flows, i.e. are flows
that are between units that are
further apart, smaller than those
between units close-by?
Sketching

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Migration Data at the Big Data InfoVis summer school

  • 1. Alice Thudt Emma Tonkin Søren Knudsen Katarzyna Sila-Nowicka Shantanu Pal Distances in Migration Flows Group ELM
  • 2. Data Census data (UK districts) Text mined population from Wikipedia Boundaries database - UK Calculated centroids
  • 3. Matrix of flows Origin Destination City of London Havering Islington Redbridge Rotherham Sheffield Gateshead Newcastle upon Tyne Rutland Nottingham Plymouth City of London 72 0 13 0 0 0 0 0 0 0 0 Havering 1013 3355 194 507 0 1 0 0 0 1 0 Islington 509 5 1565 8 0 0 0 0 0 1 0 Redbridge 857 257 277 2002 0 1 1 1 0 2 0 Rotherham 5 0 0 1 5330 2239 1 0 0 14 0 Sheffield 4 0 2 0 858 15591 0 3 0 23 0 Gateshead 3 1 0 0 0 1 3732 1847 0 0 1 Newcastle upon Tyne 1 0 0 0 0 2 719 6153 0 4 0 Rutland 7 0 0 0 0 0 0 0 619 12 0 Nottingham 3 0 1 0 2 7 1 0 1 6403 0 Plymouth 0 0 1 0 0 0 0 0 0 0 7111 Torbay 0 0 0 0 0 0 0 0 0 0 28 Bournemouth 3 0 0 0 0 1 0 0 0 0 1 Poole 3 0 0 0 0 1 0 0 0 0 0 Swindon 9 0 2 0 0 0 0 0 0 1 1 Wiltshire 15 3 4 0 0 2 0 0 0 1 1 Peterborough 19 1 9 1 0 0 0 1 16 3 0 Luton 73 0 25 1 1 1 0 0 0 4 0 Bedford 46 1 11 0 0 3 0 0 1 4 0 Central Bedfordshire 102 4 50 2 1 2 0 0 0 1 0 Southend-on-Sea 393 59 36 32 0 0 0 0 0 1 0 Thurrock 399 225 50 72 0 0 0 1 0 0 0 Medway 327 13 58 3 1 1 1 1 1 0 1 Bracknell Forest 19 0 5 1 1 0 0 0 0 0 0 West Berkshire 20 0 8 0 0 1 0 1 0 1 0
  • 7. Our question: Effect of geographic distance: Does distance matter to the number of flows, i.e. are flows that are between units that are further apart, smaller than those between units close-by?