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GoneGone
ShoppingShopping
Jerry Clough
YACID?
Yet Another Crap Internet Directory
Retail Geo-data

Geolytix
Source: Geolytix in Directions Magazine
FHRS 1
(local) Government Open Data
• Addresses
• Partial geolocation
– postcode
• Business Type
– Pub/Bar/Nightclub
– Supermarket
– Café/Restaurant
– Other Retail
• Covers at least 50-60% of retail
outlets
• Usually current
– Typical inspection interval 6-12
months
Mapping
Process
• Extensive not
Intensive.
• Comprehensive
• Driven by external
data (City Open Data).
• Limited mapping
targets
Mapping
• Photo Surveying
– Building Line
– Detail of Shop Front
– Limited address info
– Relies on high-quality aerial imagery
• Basic Mapping
– Initially add as nodes with ~ location
– Add Building outlines and improve location
– Transfer detail from nodes to ways
• Refinement
– Address data (mainly FHRS + interpolation)
– Add contact, opening hours etc
Mapping Retail : City Centre
Mapping : Parade
Issues

Extremes of spectrum for retail

shop=mall

shop=kiosk, market stalls & pitches

Long tail of shop tags

Higher level classification

Better analytical power

Retail areas

Analysis

Inconsistency

Change
Mall
• shop=mall too generic
– Shopping Centres
– Arcades
– Shopping Precincts
• Difficult to map
– No photography (often)
– Many levels
– Indoor mapping
Kiosk
Kiosk
Kiosk
Kiosk
Kiosk
The Long Tail
4 4
5 2 0 3
5 6 4
3 3
8 5 2 2
1 3 6 0
1 1 3 3 2
2 3 7
8 5
1 1 9 2 4
8 9 6 3 6
2 0 3
3 4 7 4 7
2 6 1 2
1 6 3 8 3
2 7 3 2
6 0 9
1 4 6 9
8 5
1 3 6
3 8 9 3
3 1 1 6 7
5 0
1 8 7 6
1 7 8
3 1 1 6
5 7 1 3
7 6 0
2 2 0 3
1 3 6
7 5
3 8 8 4
3 1 1 4 3
1 0
6 4 7
4 7
3
3 5 4
1 7 1
6 4 8
2 4
2 9
3 6 0
5 4 1 3
7 9
2 7
8 7
9 6
7 1
4
5 3 7 7
2
5
1 1
1 0 5
2 1 2
3 2
8 1 1 7
5 5 2
4 7 3
8 0 5 6
1 3 3 8
5 9 8 2
8 3
2 3 1 0 2
5 0 8 1 5
2 5 5
1 2 0 9 1
1 1 3 4
2 0 7 3 2
5 7 3 6
3 2 6 0
1 1 9
1 2 4
2 8 5 5 4
5 2 6 2 8
7 6
1 0 0 5 4
9 3 1
1 2 1 7
5 0 8 6
1 3 6 4
1 3 0 8 4
4 0 5
2 4 7
9 8 7 6
7 6 4 1 6
1 2 2
1 2 8 7 0
1 2 4 8
6 9 2 1 1
2 4 0 1 1
9 3 6 6
5 9 6 1
3 6 7
3 3 2
4 2 3 2 6
1 5 9 6 1 6
4 6 6 7
6 8 3
1 3 5 7
8 2 7 2
8 7 8
1 2 0 0 7
2 5 6
1 3 4
6 2 1 0
6 3 9 7 3
3
3 5 7
3 5
1 1 0 7
3 4
2 7 8 0
2 5
7 0 3
1 2 9 9 6
6
1 0 2
1 2 6 8
1 4 9
3 1 6 0
3 5
1 5 9 2 8
7 5 2 2
7 2 8
5 5 7 0
1 7 2
7 1
2 0 6 1 4
6 1
8 0 0 7
1 0 3 4
3 1 3 2 8
1 0 4 5 0
2 4 3 5
1 4 9 9 0
4 7 8
2 6 9
1 2 5 3 2
8 9 0 7 0
1 6 4
1 0 9 9 9
1 4 0 8
5 8 6 0
4 8 4 2
1 2 1 6
3 5 7 2 3
8 4 0
3 3 1
1 2 5 3 7
7 5 8 0 5
1 3
8 7 3
1 3 9
1 4 0 4
9 8
2 0 7 3
8 5
5 4
1 0 3 2 0
1 2
1 2 7 1
7 5
2 4 5 5 1
9 4 5 0
9 6 3
1 6 0 4
6 7
2 1
2 3 0 5 5
1 5
1 1 6 2
1 9 4
7 6 2 3
2 6 1 4
3 4 4
1 5 4 1
4 0
1 0
8 5 8 4
4 0
7
4 4
9 4
1 1
8 4
3
3 4 4
2 3 7 7
8 0
4 0 0 5
2 9 7
1 2 3 2 3
7 2 9
5 1 6 0
8 4
1 3 2
5 3 9 2
3 3 7 6 1
1 9
2 2 8 6
8 5 6 4
3 6 0 3
5 3 2
9 2
4 6 6 8
2 4 8 4 7
1 7
2 3 6 8
3 5 4
9 9 1 2
2 3 3 9
5 4 5
3 9 0 5
1 0 0
1 8 9 9 7
1 1
8 4 8
1 0 3
2 8 8 5
1 5 5
4 4
2 0
1 1 0 1 5
6
1 5 8 3
1 7 1
1 9 1 2
1 8 4
4 1 6 7
9 7
6 9
3 7 0 5
1 5 2 4 9
2 5 5 0
2 8
2 1
7 7 1 9
8
6 0 6
8 1
1 1 3 2
7 0
1 5 1 8
1 0
1 5
3 0 1 7
5 2 6 6
1 2 7
4 4 2 4
3 5 5
1 3 1 0 3
5 5 6 6
8 3 6
4 7 6 5
1 2 7
5 2
3 3 3 9
2 1 0 4 3
6 6 3
3 0 5 4 6
2 9 5 4
8 3 4 9 3
3 5 5 9 7
4 2 8 5
4 1 9 6 1
9 7 0
5 6 4
4 3 0 5 6
1 0 5 4 4 5
0 % 2 0 % 4 0 % 6 0 % 8 0 % 1 0 0 %
n g
u k
ie
d e
f r
c h
ru
lv
e e
u s
R o W
b a n k
p u b
b a r
n ig h t c lu b
b ie r g a r t e n
c o m e d y _ c lu b
s o c ia l_ c lu b
p o s t _ o f f ic e
f a s t _ f o o d
c a f é
r e s t a u r a n t
p h a r m a c y
m a r k e t p la c e
m a ll
k io s k
s u p e r m a r k e t
c o n v e n ie n c e
a lc o h o l
b a k e r y
b u t c h e r
ic e _ c r e a m
c lo t h e s
c a r _ r e p a ir
c a r
b o o k s
d o it y o u r s e lf
h a r d w a r e
d e p a r t m e n t _ s t o r e
h a ir d r e s s e r
o t h e r
A Tentative Shop Classification
• Food & Drink
• Clothing
• Health & Beauty
– Optician, Cosmetics, Pharmacy
• Household Goods
– Furniture, Appliances, Furnishings
• Electronics
• Hardware
• Value
– Variety & Discount
• Pubs / Restaurants
• Fast Food
• Books & Stationery
• Leisure
• Hobby
• Gift
– Jewellery, Gift, Florists
• Motor Trade
• Financial Services
– Banking, Insurance, Payday Loans,
Post Offices
• Personal Services
– Hairdressing, Nail Bar
• Clothing Services
– Laundry, Shoe Repair
Classifying Retail Areas
Conclusions Nottingham Retail 1
Conclusions Nottingham Retail 2
Conclusions Nottingham Retail 3

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Gone Shopping: detailed retail mapping

  • 2. YACID? Yet Another Crap Internet Directory
  • 4. FHRS 1 (local) Government Open Data • Addresses • Partial geolocation – postcode • Business Type – Pub/Bar/Nightclub – Supermarket – Café/Restaurant – Other Retail • Covers at least 50-60% of retail outlets • Usually current – Typical inspection interval 6-12 months
  • 5. Mapping Process • Extensive not Intensive. • Comprehensive • Driven by external data (City Open Data). • Limited mapping targets
  • 6. Mapping • Photo Surveying – Building Line – Detail of Shop Front – Limited address info – Relies on high-quality aerial imagery • Basic Mapping – Initially add as nodes with ~ location – Add Building outlines and improve location – Transfer detail from nodes to ways • Refinement – Address data (mainly FHRS + interpolation) – Add contact, opening hours etc
  • 7. Mapping Retail : City Centre
  • 9. Issues  Extremes of spectrum for retail  shop=mall  shop=kiosk, market stalls & pitches  Long tail of shop tags  Higher level classification  Better analytical power  Retail areas  Analysis  Inconsistency  Change
  • 10. Mall • shop=mall too generic – Shopping Centres – Arcades – Shopping Precincts • Difficult to map – No photography (often) – Many levels – Indoor mapping
  • 11. Kiosk
  • 12. Kiosk
  • 13. Kiosk
  • 14. Kiosk
  • 15. Kiosk
  • 16. The Long Tail 4 4 5 2 0 3 5 6 4 3 3 8 5 2 2 1 3 6 0 1 1 3 3 2 2 3 7 8 5 1 1 9 2 4 8 9 6 3 6 2 0 3 3 4 7 4 7 2 6 1 2 1 6 3 8 3 2 7 3 2 6 0 9 1 4 6 9 8 5 1 3 6 3 8 9 3 3 1 1 6 7 5 0 1 8 7 6 1 7 8 3 1 1 6 5 7 1 3 7 6 0 2 2 0 3 1 3 6 7 5 3 8 8 4 3 1 1 4 3 1 0 6 4 7 4 7 3 3 5 4 1 7 1 6 4 8 2 4 2 9 3 6 0 5 4 1 3 7 9 2 7 8 7 9 6 7 1 4 5 3 7 7 2 5 1 1 1 0 5 2 1 2 3 2 8 1 1 7 5 5 2 4 7 3 8 0 5 6 1 3 3 8 5 9 8 2 8 3 2 3 1 0 2 5 0 8 1 5 2 5 5 1 2 0 9 1 1 1 3 4 2 0 7 3 2 5 7 3 6 3 2 6 0 1 1 9 1 2 4 2 8 5 5 4 5 2 6 2 8 7 6 1 0 0 5 4 9 3 1 1 2 1 7 5 0 8 6 1 3 6 4 1 3 0 8 4 4 0 5 2 4 7 9 8 7 6 7 6 4 1 6 1 2 2 1 2 8 7 0 1 2 4 8 6 9 2 1 1 2 4 0 1 1 9 3 6 6 5 9 6 1 3 6 7 3 3 2 4 2 3 2 6 1 5 9 6 1 6 4 6 6 7 6 8 3 1 3 5 7 8 2 7 2 8 7 8 1 2 0 0 7 2 5 6 1 3 4 6 2 1 0 6 3 9 7 3 3 3 5 7 3 5 1 1 0 7 3 4 2 7 8 0 2 5 7 0 3 1 2 9 9 6 6 1 0 2 1 2 6 8 1 4 9 3 1 6 0 3 5 1 5 9 2 8 7 5 2 2 7 2 8 5 5 7 0 1 7 2 7 1 2 0 6 1 4 6 1 8 0 0 7 1 0 3 4 3 1 3 2 8 1 0 4 5 0 2 4 3 5 1 4 9 9 0 4 7 8 2 6 9 1 2 5 3 2 8 9 0 7 0 1 6 4 1 0 9 9 9 1 4 0 8 5 8 6 0 4 8 4 2 1 2 1 6 3 5 7 2 3 8 4 0 3 3 1 1 2 5 3 7 7 5 8 0 5 1 3 8 7 3 1 3 9 1 4 0 4 9 8 2 0 7 3 8 5 5 4 1 0 3 2 0 1 2 1 2 7 1 7 5 2 4 5 5 1 9 4 5 0 9 6 3 1 6 0 4 6 7 2 1 2 3 0 5 5 1 5 1 1 6 2 1 9 4 7 6 2 3 2 6 1 4 3 4 4 1 5 4 1 4 0 1 0 8 5 8 4 4 0 7 4 4 9 4 1 1 8 4 3 3 4 4 2 3 7 7 8 0 4 0 0 5 2 9 7 1 2 3 2 3 7 2 9 5 1 6 0 8 4 1 3 2 5 3 9 2 3 3 7 6 1 1 9 2 2 8 6 8 5 6 4 3 6 0 3 5 3 2 9 2 4 6 6 8 2 4 8 4 7 1 7 2 3 6 8 3 5 4 9 9 1 2 2 3 3 9 5 4 5 3 9 0 5 1 0 0 1 8 9 9 7 1 1 8 4 8 1 0 3 2 8 8 5 1 5 5 4 4 2 0 1 1 0 1 5 6 1 5 8 3 1 7 1 1 9 1 2 1 8 4 4 1 6 7 9 7 6 9 3 7 0 5 1 5 2 4 9 2 5 5 0 2 8 2 1 7 7 1 9 8 6 0 6 8 1 1 1 3 2 7 0 1 5 1 8 1 0 1 5 3 0 1 7 5 2 6 6 1 2 7 4 4 2 4 3 5 5 1 3 1 0 3 5 5 6 6 8 3 6 4 7 6 5 1 2 7 5 2 3 3 3 9 2 1 0 4 3 6 6 3 3 0 5 4 6 2 9 5 4 8 3 4 9 3 3 5 5 9 7 4 2 8 5 4 1 9 6 1 9 7 0 5 6 4 4 3 0 5 6 1 0 5 4 4 5 0 % 2 0 % 4 0 % 6 0 % 8 0 % 1 0 0 % n g u k ie d e f r c h ru lv e e u s R o W b a n k p u b b a r n ig h t c lu b b ie r g a r t e n c o m e d y _ c lu b s o c ia l_ c lu b p o s t _ o f f ic e f a s t _ f o o d c a f é r e s t a u r a n t p h a r m a c y m a r k e t p la c e m a ll k io s k s u p e r m a r k e t c o n v e n ie n c e a lc o h o l b a k e r y b u t c h e r ic e _ c r e a m c lo t h e s c a r _ r e p a ir c a r b o o k s d o it y o u r s e lf h a r d w a r e d e p a r t m e n t _ s t o r e h a ir d r e s s e r o t h e r
  • 17. A Tentative Shop Classification • Food & Drink • Clothing • Health & Beauty – Optician, Cosmetics, Pharmacy • Household Goods – Furniture, Appliances, Furnishings • Electronics • Hardware • Value – Variety & Discount • Pubs / Restaurants • Fast Food • Books & Stationery • Leisure • Hobby • Gift – Jewellery, Gift, Florists • Motor Trade • Financial Services – Banking, Insurance, Payday Loans, Post Offices • Personal Services – Hairdressing, Nail Bar • Clothing Services – Laundry, Shoe Repair