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Geography Information 101,
and Introduction to the Hands-on
Practical
Jeremy Morley
Deputy Director
Centre for Geospatial Science,
University of Nottingham
Hands-on Practical
• An opportunity to work with real Open Data
• Relatively simple examples but designed to
link thematically to the Geovation challenges
• Mostly geographically related analysis, though
some analysis in Excel too
• First, some introduction to key concepts
• Acknowledgment: Geo-Refer project,
University of Southampton,
http://www.restore.ac.uk/resources/grefer.php
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
So many reference zones to choose from...
Zones Matter!
"How to Lie with Maps" by Mark Monmonier
(see Chapter 9 (first edition))
"How to Lie with Maps" by Mark Monmonier
(see Chapter 9 (first edition))
1000 100 50 100 50 100 50
200 100 200 100 200 100 200
100 200 100 4000 100 200 100
200 400 200 400 200 400 3000
Number of televisions
2000 200 100 200 100 200 100
200 100 200 100 200 100 200
100 200 100 4000 100 200 100
100 200 100 200 100 200 1500
Number of households
Televisions per household
0.5 0.5 0.5 0.5 0.5 0.5 0.5
1.0 1.0 1.0 1.0 1.0 1.0 1.0
1.0 1.0 1.0 1.0 1.0 1.0 1.0
2.0 2.0 2.0 2.0 2.0 2.0 2.0
Aggregation
Number of
TVs
Number of
h'holds
TVs per
h'hold
1450
5900
4800
2900
5900
2400
0.5
1.0
2.0
Aggregation (2)
2300 5700 4150
0.74 1.04 1.60
3100 5500 2600
Number of
TVs
Number of
h'holds
TVs per
h'hold
Aggregation (3)
Number of
TVs
Number of
h'holds
TVs per
h'hold
1100
3550
4100
34002200
3200
4100
17000.5
1.11
1.0
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
http://www.statistics.gov.uk/geography/beginners_guide.asp
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
Practical work
• Divided into three phases (no formal break)
• Phase 1: introduction to taking a table of
points & related attributes, doing some data
analysis in Excel then plotting the points on a
map
• Phase 2: looking at joining data from different
sources to produce a new picture of an area
• Phase 3: advanced challenges.
– First leads on from Phase 2: further analysis
– Second relates to joining to complex admin units
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
Open Data Master Classes: Introduction to Hands-on Practical Session
http://neighbourhood.statistics.gov.uk/dissemination
Open Data Master Classes: Introduction to Hands-on Practical Session
Enjoy the practical session
• Four of us around to help you with problems:
– Myself, Hanif Rahemtulla [Uni. Nottingham]
– Chris Parker & Ian Holt [OS Geovation]
• Jeremy Morley
Centre for Geospatial Science, Uni. Nottingham
http://www.nottingham.ac.uk/cgs
@ jeremy_morley [Twitter]

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Open Data Master Classes: Introduction to Hands-on Practical Session

  • 1. Geography Information 101, and Introduction to the Hands-on Practical Jeremy Morley Deputy Director Centre for Geospatial Science, University of Nottingham
  • 2. Hands-on Practical • An opportunity to work with real Open Data • Relatively simple examples but designed to link thematically to the Geovation challenges • Mostly geographically related analysis, though some analysis in Excel too • First, some introduction to key concepts • Acknowledgment: Geo-Refer project, University of Southampton, http://www.restore.ac.uk/resources/grefer.php
  • 7. So many reference zones to choose from...
  • 8. Zones Matter! "How to Lie with Maps" by Mark Monmonier (see Chapter 9 (first edition)) "How to Lie with Maps" by Mark Monmonier (see Chapter 9 (first edition)) 1000 100 50 100 50 100 50 200 100 200 100 200 100 200 100 200 100 4000 100 200 100 200 400 200 400 200 400 3000 Number of televisions 2000 200 100 200 100 200 100 200 100 200 100 200 100 200 100 200 100 4000 100 200 100 100 200 100 200 100 200 1500 Number of households
  • 9. Televisions per household 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0
  • 10. Aggregation Number of TVs Number of h'holds TVs per h'hold 1450 5900 4800 2900 5900 2400 0.5 1.0 2.0
  • 11. Aggregation (2) 2300 5700 4150 0.74 1.04 1.60 3100 5500 2600 Number of TVs Number of h'holds TVs per h'hold
  • 12. Aggregation (3) Number of TVs Number of h'holds TVs per h'hold 1100 3550 4100 34002200 3200 4100 17000.5 1.11 1.0
  • 21. Practical work • Divided into three phases (no formal break) • Phase 1: introduction to taking a table of points & related attributes, doing some data analysis in Excel then plotting the points on a map • Phase 2: looking at joining data from different sources to produce a new picture of an area • Phase 3: advanced challenges. – First leads on from Phase 2: further analysis – Second relates to joining to complex admin units
  • 29. Enjoy the practical session • Four of us around to help you with problems: – Myself, Hanif Rahemtulla [Uni. Nottingham] – Chris Parker & Ian Holt [OS Geovation] • Jeremy Morley Centre for Geospatial Science, Uni. Nottingham http://www.nottingham.ac.uk/cgs @ jeremy_morley [Twitter]