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Gone Shopping: detailed retail mapping

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In the spring of this year I have mapped the vast majority (>95%) of shops and retail areas in Nottingham, the 8th largest retail centre in the UK, serving a market of around 1 million people. In addition I have repeated the exercise for a Maidenhead a town of 70,000 which is only a local shopping centre.

Comprehensive mapping of retail outlets allows a more rigorous analysis of OSM data, with significant implications for how we should collect and map data for shops. These include: better support from mapping tools (particularly for mapping change), defining a usable classification for retail areas, and improving consistency in tagging.

These need to be cross-checked for different countries, so I hope this provokes extensive contributions from other participants.

Published in: Technology, Business
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Gone Shopping: detailed retail mapping

  1. 1. GoneGone ShoppingShopping Jerry Clough
  2. 2. YACID? Yet Another Crap Internet Directory
  3. 3. Retail Geo-data  Geolytix Source: Geolytix in Directions Magazine
  4. 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. 5. Mapping Process • Extensive not Intensive. • Comprehensive • Driven by external data (City Open Data). • Limited mapping targets
  6. 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. 7. Mapping Retail : City Centre
  8. 8. Mapping : Parade
  9. 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. 10. Mall • shop=mall too generic – Shopping Centres – Arcades – Shopping Precincts • Difficult to map – No photography (often) – Many levels – Indoor mapping
  11. 11. Kiosk
  12. 12. Kiosk
  13. 13. Kiosk
  14. 14. Kiosk
  15. 15. Kiosk
  16. 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. 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
  18. 18. Classifying Retail Areas
  19. 19. Conclusions Nottingham Retail 1
  20. 20. Conclusions Nottingham Retail 2
  21. 21. Conclusions Nottingham Retail 3

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