Advances in Geographic Information Science and “the Population of Blackpool”

An evening talk for the Blackpool Geographical Association - 4th November 2013

Transcript

1. Alex Singleton Department of Geography and Planning Advances in Geographic Information Science and “the Population of Blackpool” www.alex-singleton.com Picture - http://www.flickr.com/photos/metaltax/3071984856/
5. Eurostat yearbook 2004
6. Geographic Information Systems • Almost all human activities and decisions involve an important geographic component • Working with geographic information involves unique, complex and difficult choices – Why we need specialized “software” • organize and store • access and retrieve • manipulate and synthesize • apply to the solution of problems
7. Geographic Information Systems http://en.wikipedia.org/wiki/File:Arcgisclusters.jpg
8. Geographic Information Systems
9. Advances • Increasing prevalence of spatial data – New and innovative data uses – Open Data – Volunteered geographic information (Crowd Sourcing) • GIS tools are no longer a barrier • Move of GIS online & mobile – New ways to generate data – New ways to consume information
10. Open Source Software
11. NEW AND INNOVATIVE DATA USES
12. http://gbnames.publicprofiler.org/ Singleton (1881;1998) • 1881 Census • 1998 Enhanced electoral roll
14. http://worldnames.publicprofiler.org/
16. Cawood Culpin
17. BIALOWAS
18. OPEN DATA
19. http://theodi.org/
21. http://www.guardian.co.uk/news/datablog/2013/feb/08/census-data-mapped
22. Males Lives in a Communal Establishment
23. Median Age British
24. Flats Semi
26. http://www.flickr.com/photos/lrargerich/2803606630/
27. 62 Variables 22 4 9 11 16
28. http://www.opendataprofiler.com/Mapping.aspx
30. 2011 OAC Supergroup Assignment ! Rural Residents Cosmopolitans Ethnic Mix Blue Collar Neighbourhoods ! ! Multicultural Metropolitans Suburbanites Proportion of 2011 OAC Supergroups in a 2 mile radius around Chelsea’s and Liverpool’s stadiums
31. Education http://www.education.gov.uk/schools/performance/
32. Education http://www.educationprofiler.org/?catchment
33. OpenStreetMap CO2 & School Commute • Department for Education – Pupil Level Annual School Census (PLASC) • Postcode level • 2007 – 2012 – “usual” travel mode • 7,373,505 pupil records after exclusions (e.g. no postcode etc) – multiple years (2011) • Mostly state school pupils
35. Crime http://www.police.uk/
36. Crime http://www.police.uk/
37. http://data.police.uk/
38. Crime
39. Crime
40. Crime
41. http://www.policestreets.co.uk/
42. VOLUNTEERED GEOGRAPHIC INFORMATION
43. http://www.flickr.com/photos/thms/42302762/
44. http://www.flickr.com/photos/trojanllama/846715689/
50. http://www.geograph.org.uk/
51. http://scenic.mysociety.org/
52. Scenicornot.org • This was derived from the scenic or not website, where visitors are asked to rate how ‘scenic’ a photo image is, between 1 and 10. ! • A record of each photograph’s ratings is kept, and is available from the website. ! • An average of each of the ratings for each photo was taken as the rating in this project. ! • A map showing the ‘average scenic rating’ of the photos in the 5 KM grid squares of North England
54. Example of a Walk • Each Walkingworld walk route consists of a number of waymarks, or ‘walk points.’ • Sometimes the walk can take the form of a cycle, in this case a walk is shown on a Leaflet map of Blackpool and the surrounding area. Liam Bratley
55. Average Scenic Rating • For each walk point, the closest 3 photos were found using a Nearest Neighbour algorithm in R. • The mean of the average rating of each of the 3 photos was calculated. The result of this calculation was stored as the “average scenic rating” for each walk point. • The graph opposite shows how the average scenic rating varies according to altitude, as you move through each walk point of a walk around North West Lancashire.
56. Visualisation of Cluster Locations • Some interesting results: the green clusters look to be approximately near to the national parks of the country; meanwhile the yellow/light green clusters are more focused around urban areas. • This lead tso appropriate naming of these clusters.
59. Dean Riddlesden - http://deanriddlesden.wordpress.com/
60. 2010/11 2012/13 Dean Riddlesden - http://deanriddlesden.wordpress.com/
61. Some Conclusions • Increasing prevalence of spatial data – New and innovative data uses – Open Data – Volunteered geographic information (Crowd Sourcing) • GIS tools are no longer a barrier • Move of GIS online & mobile – New ways to generate data – New ways to consume information
62. Thanks! • Questions? • www.alex-singleton.com