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Visualising Space and Time


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Tools, Techniques, Methods for Digital Humanities Scholars

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Visualising Space and Time

  1. 1. Visualising in Time & SpaceSeeing the Worldin Dynamic DimensionsShawn DayDigital Humanities ObservatoryDAH Spring Institute 2013 - UCC - 8 February 2013
  2. 2. Here’s What We Hopeto do in 1 Hour• Explore Spatial and Temporal Dimensions in Humanities Scholarship • What Can Be Done? • What Principles To Be Aware of? • Some Useful Tools
  3. 3. Grounding Ourselves• How do we get from: • there to here • then to now • what can we learn from the path we take?• What data do you have?• What questions do you want to ask?• Pure Speculation
  4. 4. DiscoveryBrowsing Objects UsingTime and Location
  5. 5. The Classic Time, Space andEnvironmental Visualisation
  6. 6. What About the Path and Sequence? • Because we are representing real world phenomenon we have have to ask what we are seeing when we identify patterns. • Trends • Shifting • Stabilising • Cyclic vs anomalies • Burst
  7. 7. • So what we see are that there are some great visualisations out there• and that the power exists to create them• ...but where do they come from?• The place we have been talking about all day• ...good data...• so how do we find and manipulate data related to space and time to make it usable in such ways?
  8. 8. Data Analysis Principles• Process is a Way of Thinking, not a Substitute for Thinking• Data needs to be considered and reported in Context• Look Before you Leap - Get to Know Your Data• Question Everything - Collection, Process, Bias, etc.• Coincidence is Not the Same as Causality• Just Because Data Exists Doesn’t Mean its Relevant Fern Halper - Seven Guiding Principles
  9. 9. Time• Time series data can be continuous or discrete• It’s usually discrete - i.e. observations exist for regularly or irregularly spaced intervals• Although occasionally continuous - i.e. an observation at every instant of time
  10. 10. Processing• Balance Sources and Formatting• Filtering• Normalising • De-Duplication • Unit Conversion • Time Zones • Formats• Testing and Removing or Resolving Anomalies
  11. 11. Analysis versusPresentation• Who is this for?• Is it to convey a message or finding?• Is it purely for discovery and analysis?• Maps can be funny to manipulate GDP Growth 2004
  12. 12. But Time is ‘Funny’ and let’sconsider Back to the Future• There can be simple sequential linear tine ... it’s the one we are most used to
  13. 13. All 3 Movies in a Fancy Timeline
  14. 14. But with simplication we seethan time is not linear in thiscase ...
  15. 15. And it really is matter of what weare representing
  16. 16. Geospatial VisualisationA Simple Example• A quick example - bit of how, more about the why
  17. 17. You have this ... Aggregate Demographic and Economic Data from US 2011 Census by Census District
  18. 18. ...and this... US 2011 Census District Boundary files in KML
  19. 19. ... which Reveals
  20. 20. Combining Statistical Data with Geospatial Data to Visualise for Patterns+ + =
  21. 21. And When You Need to BringTime into the Equation
  22. 22. Herodotus TimeMap
  23. 23. Temporal Tools SIMILE Timeline TimeFlow DIpity TimelineJS TimeMap TimeGlider
  24. 24. Spatial Tools Google Fusion Tables Many Eyes Google Earth Junar OpenGRASS ArcGIS Explorer
  25. 25. Data Refining and Manipulation OpenRefine Mr Data Converter Data Wrangler Junar R Text
  26. 26. Pulling It Together - Exhibit
  27. 27. Pulling ItTogether -NeatLineOmeka Plugin
  28. 28. One to Watch The Shape of What’s Coming ...
  29. 29. Thank YouShawn