Visualising Space and Time
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Visualising Space and Time
- 1. Visualising in Time & Space Seeing the World in Dynamic Dimensions Shawn Day Digital Humanities Observatory DAH Spring Institute 2013 - UCC - 8 February 2013
- 2. Here’s What We Hope to 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. 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
- 5. Discovery Browsing Objects Using Time and Location
- 6. The Classic Time, Space and Environmental Visualisation http://www.datavis.ca/gallery/re-minard.php
- 7. 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 https://republicofletters.stanford.edu/tools/
- 8. • 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?
- 9. 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
- 10. 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
- 11. Processing • Balance Sources and Formatting • Filtering • Normalising • De-Duplication • Unit Conversion • Time Zones • Formats • Testing and Removing or Resolving Anomalies
- 12. Analysis versus Presentation • 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 http://demo.intelytics.fr/bdf/#none/2000
- 13. But Time is ‘Funny’ and let’s consider Back to the Future • There can be simple sequential linear tine ... it’s the one we are most used to
- 14. All 3 Movies in a Fancy Timeline http://a.yfrog.com/img806/8237/s3c.jpg
- 15. But with simplication we see than time is not linear in this case ... http://mysticalpha.deviantart.com/art/Back-to-the-Future-Timeline-162530828
- 16. And it really is matter of what we are representing http://flickographics.com/the-delorean-travels/
- 17. Geospatial Visualisation A Simple Example • A quick example - bit of how, more about the why
- 18. You have this ... Aggregate Demographic and Economic Data from US 2011 Census by Census District
- 19. ...and this... US 2011 Census District Boundary files in KML
- 20. ... which Reveals http://www.richblockspoorblocks.com
- 21. Combining Statistical Data with Geospatial Data to Visualise for Patterns + + =
- 22. And When You Need to Bring Time into the Equation
- 24. Temporal Tools SIMILE Timeline TimeFlow DIpity TimelineJS TimeMap TimeGlider
- 25. Spatial Tools Google Fusion Tables Many Eyes Google Earth Junar OpenGRASS ArcGIS Explorer
- 26. Data Refining and Manipulation OpenRefine Mr Data Converter Data Wrangler Junar R Text
- 27. Pulling It Together - Exhibit
- 28. Pulling It Together - NeatLine Omeka Plugin
- 29. One to Watch The Shape of What’s Coming ... https://republicofletters.stanford.edu/tools/