(Jaume Sala). The initial definition of this project consisted on three questions: How can the city administration connect/combine own data sets within the existing IT structure in order to make multidimensional analysis? How can we (the government of Schiedam) combine these datasets with datasets from several stakeholders? And finally, what kind of new information can become available? The objectives of the project were the following: Implement a tool to achieve the visual representation of georeferenced datasets, analyze the possibility to combine multiple datasets in the same graphical representation, and propose a new datasets organization related to smart city indicators and geospatial data.

1. Sharing
Data
Practicum
Jaume Sala
Tutor Mateu Sbert
Advisor Kees Brandwijk

2. Knowledge

3. Open Data

4. Project

5. • Combine and analyze existing
Government datasets
Project

6. • Combine and analyze existing
Government datasets
• Include datasets from
other stakeholders
Project

7. • Combine and analyze existing
Government datasets
• Include datasets from
other stakeholders
• Publish the generated
information
Project

8. Analysis

9. • Use of multiple open
data platforms
Analysis

10. • Use of multiple open
data platforms
• Documents are being shared
internally and externallyAnalysis

11. • Use of multiple open
data platforms
• Documents are being shared
internally and externally
• Stored in spreadsheets,
databases, plain text...
Analysis

12. Analysis

13. Solution

14. Solution
Concept

15. Solution
Concept +

16. Solution
Concept
Geospatial
visualization

17. Solution
Examples

18. Solution
Proposal Visualize
datasets
Analyze
information
Share
results
Web application

19. 1. Retrieve the datasets
from their sources
2. Create a new map
representation
3. Share the map with
other users
Solution
Workflow

20. Application

21. Application
Sources
Retrieve the datasets

22. Application
Sources
Retrieve the datasets
Location

23. Application
Sources
Retrieve the datasets
Location File size

24. Application
Sources
Retrieve the datasets
Location File size File format

25. Application
Sources
• Url link
• Name
• Description
• Website
• Refresh freq.
Retrieve the datasets

26. Application
Maps
Create the map

27. Application
Maps
Create the map
Information

28. Application
Maps
Create the map
Information Style

29. Application
Maps
Create the map
Information Style Layers

30. Application
Maps
Create the map
Layers

31. Application
Layers
Areas

32. Application
Layers
Boundaries

33. Application
Layers
Coordinates

34. Application
Layers
Choropleths

35. Application
Layers
Heat maps

36. Application
Users
Share the information
Keep it
private
Share it
with users
Share it
publicly

37. Demo

38. Tests

39. 1. Given a dataset
2. Answer a question
3. Two minutes time
Tests

40. 1. Original dataset
• 2 min to answer
2. MS Excel version
• 2 min to answer
3. Map visualization
• 2 min to answer
Tests

41. Tests

42. Results

43. Results
# Age Dataset? MS Excel? Map?
1 26 –
2 35 –
3 42 – –
4 59 – –
5 62 – –

44. Results
# Age Dataset? MS Excel? Map?
1 26 –
2 35 –
3 42 – –
4 59 – –
5 62 – –

45. Conclusions

46. 1. Advantages?
Conclusions

47. 1. Advantages? Yes
Conclusions

48. 1. Advantages? Yes
2. Overcomes handicaps?
Conclusions

49. 1. Advantages? Yes
2. Overcomes handicaps? Yes
Conclusions

50. 1. Advantages? Yes
2. Overcomes handicaps? Yes
• Education
• Literacy
• Technical barriers
Conclusions

51. 1. Advantages? Yes
2. Overcomes handicaps? Yes
• Education
• Literacy
• Technical barriers
Conclusions

52. 1. Not perfect!
Conclusions

53. 1. Not perfect!
2. Other handicaps?
Conclusions

54. 1. Not perfect!
2. Other handicaps?
• Blind people
• Color blindness
• …
Conclusions

55. 1. Not perfect!
2. Other handicaps?
• Blind people
• Color blindness
• …
3. They are also important!
Conclusions

56. Thanks
github.com/jaumesala/opendata-maps