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Maps and Timelines

   Prof. Alvarado
  MDST 3703/7703
 13 November 2012
Business

• Quizzes by Thursday
• Project work continues on Thursday
  – Come prepared with ideas for your specific
    projects
  – Collaboration will be OK
  – We will learn to use SHIVA for maps and timelines
Review

• Culturomics as exemplar of the new
  epistemology
• Visualization as a genre of scholarship
Culturomics

• An example of the “new epistemology”
  – Positivist
  – Correlation is enough
  – “The physics of clicks” (or words)
• Transforms both questions and methods
  – What do these data represent?
  – More collaborative and quantitative
• Employs visualization
Why does BLUE make a move from being with YELLOW to being with GREEN?
Visualization

• A kind of scholarly product
  – Not just a supplement to writing, but in some
    cases a final product in its own right
• Distinctive of the new epistemology
• Occupies the space between data and
  narrative
• As much about rhetoric and aesthetics as
  about logic and math
ImagePlot of Vertov’s film, The Eleventh Hour

BRIGHTNESS
Num of SHAPES
Today we look at some of the basic forms of
 visualization and discuss them in terms of
             form and function

 Formal properties include the techniques
  used to convey ideas, such as the visual
               metaphors

 Functions include the purposes and effects
of a visualization – what does a visualization
do for scholarship? How does it relate to the
    discovery of facts or the making of an
                  argument?
Can you name a visual metaphor or device
that has been used in the visualizations we
             have looked at?
Invented by the
                                        philosopher and
                                        mathematician Renee
                                        Descartes (1596-1650)




What other devices might we use in our visualizations?
The devices we use to represent time and
space – maps and timelines – can be used to
   visualize data, information, and ideas
"We have spent most of this
semester trying to run away
and liberate ourselves from
time and space, but it is
important to find a space for
a new digital understanding of
these factors."
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Four Ways to use Maps and Timelines in
                 Visualization

I. By plotting precise spatial and/or temporal
   coordinates onto maps and timelines
  e.g. voting map, ngrams
II. By drawing artistic overlays over maps and
    timelines
  e.g. Minard’s map of Napoleon in Russias
III. By appropriating the map and the timeline as
     metaphors of more abstract dimensions
  e.g. Subway maps, narrative maps
IV. By combinations of these (e.g. with layers,
    etc.)
What are some functions, or effects, of these
             visualizations?
These visualizations tell stories

 Or, they start conversations,
     which is just as good
Mdst3703 maps-and-timelines-2012-11-13
These visualizations operate at the border
       between narrative and data

Notice how we move from a map, to a story
  based on a map, to a map of a story …
Joanna Guldi @joguldi

Dr. Jo Guldi is Assistant Professor of
History at Brown University. Before that,
she was an historian at the Harvard
Society of Fellows and a Mellon
Postdoctoral Fellow in Digital History at
the University of Chicago, as well as a
fellow of the Institute for Enabling
Geospatial Scholarship. Her book, Roads
to Power (Harvard 2011), describes how
Britain invented infrastructure and
strangers stopped speaking on the public
street. Jo is currently working on a
history of capitalism and its relationship
to land use that will focus upon the
international land reform movement of
the nineteenth century.
―My first papers started at the hamster level — the
cool patterns I could find using keyword searches in
Google Books.‖ Guldi found, for example, that 90
percent of English words denoting locomotion —
creep, crawl, stride, scurry, waddle, meander, dash,
and so forth — appear with noticeably greater
frequency within 30 years of urbanization and the
British road network. To an historian, this points to
an important but subtle change in how the general
public observed each other and interacted. English,
it turns out, is easily OCR’ed.
Guldi shows us that stories, which are
inherently temporal, can be spatial as well

 18th and 19th century Britain and France
 produce numerous examples of “spatial
                literature”

 Landscape catalogs, tour guides, “object
                stories”
London
Redivivum,
an example
of a book
about space
What do landscape catalogs
     remind you of?

What do object narratives
    remind you of?
Database literature?
      Vertov’s Man with a Camera?

There is a close connection between space,
geography, and place on the one hand and
           database on the other
The need to control people and land, which
coincides with the rise of the modern nation
 state, produces both statistics and spatial
                 literature

 The result of this process is Big Data from
                  the past.

         What can we do with it?
Texts also represent time … How can we
               extract it?
One approach is to mine
                   @heml      these texts for historical
                              information.

                              Bruce Robertson,
                              Professor of Classics at
                              Mount Allison University
                              in Canada, has developed
                              a markup approach to
                              extracting and indexing
                              data from documents.
It’s an approach similar to
what we are doing with our
Character Index.
HEML – Historical Event
<heml:Chronology>                        Markup Language – is a
   <heml:DateRange>
      <heml:StartingDate>                way to mark up source
         <heml:DateTime>                 texts and then index
            1995-05-21T21:03Z            them so they can be
         </hemlDateTime>
      </heml:StartingDate>               search, queried and
      <heml:EndingDate>                  visualized
        <heml:BoundedDate>
          <heml:TerminusPostQuem>
              <heml:Date>2005-03-21</heml:Date>
           </heml:TerminusPostQuem>
           <heml:TerminusAnteQuem>
              <heml:Date>2005-03-21</heml:Date>
          </heml:TerminusAnteQuem>
        </heml:BoundedDate>
      </heml:EndingDate>
    </heml:DateRange>
</heml:Chronology>
Is this an accurate general
representation of an historical “event”?
HEML has been extended to use RDF, a language that allows you to
           use markup to define relationships between things


Statement :
<#Arrival_of_the_Greeks> <hemlRDF:simpleDate> -1600

Reified Statement A:
<#Drewes> <hemlRDF:asserts>
(<#Arrival_of_the_Greeks> <hemlRDF:simpleDate> -1600)

Reified Statement B:
<#Renfrew> <hemlRDF:asserts> (<#Arrival_of_the_Greeks>
<hemlRDF:simpleDate -6000)

 In RDF – the foundation of what is called the “semantic
 web” – anything can have a URL, including people, places,
 ideas, etc.

 Textual passages can then be linked to their semantic
 contexts.
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
Tools You Can Use

•   Google Maps
•   Google Earth and KML
•   SIMILE Timeline
•   Dippity
•   TimeGlider

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Mdst3703 maps-and-timelines-2012-11-13

  • 1. Maps and Timelines Prof. Alvarado MDST 3703/7703 13 November 2012
  • 2. Business • Quizzes by Thursday • Project work continues on Thursday – Come prepared with ideas for your specific projects – Collaboration will be OK – We will learn to use SHIVA for maps and timelines
  • 3. Review • Culturomics as exemplar of the new epistemology • Visualization as a genre of scholarship
  • 4. Culturomics • An example of the “new epistemology” – Positivist – Correlation is enough – “The physics of clicks” (or words) • Transforms both questions and methods – What do these data represent? – More collaborative and quantitative • Employs visualization
  • 5. Why does BLUE make a move from being with YELLOW to being with GREEN?
  • 6. Visualization • A kind of scholarly product – Not just a supplement to writing, but in some cases a final product in its own right • Distinctive of the new epistemology • Occupies the space between data and narrative • As much about rhetoric and aesthetics as about logic and math
  • 7. ImagePlot of Vertov’s film, The Eleventh Hour BRIGHTNESS Num of SHAPES
  • 8. Today we look at some of the basic forms of visualization and discuss them in terms of form and function Formal properties include the techniques used to convey ideas, such as the visual metaphors Functions include the purposes and effects of a visualization – what does a visualization do for scholarship? How does it relate to the discovery of facts or the making of an argument?
  • 9. Can you name a visual metaphor or device that has been used in the visualizations we have looked at?
  • 10. Invented by the philosopher and mathematician Renee Descartes (1596-1650) What other devices might we use in our visualizations?
  • 11. The devices we use to represent time and space – maps and timelines – can be used to visualize data, information, and ideas
  • 12. "We have spent most of this semester trying to run away and liberate ourselves from time and space, but it is important to find a space for a new digital understanding of these factors."
  • 24. Four Ways to use Maps and Timelines in Visualization I. By plotting precise spatial and/or temporal coordinates onto maps and timelines e.g. voting map, ngrams II. By drawing artistic overlays over maps and timelines e.g. Minard’s map of Napoleon in Russias III. By appropriating the map and the timeline as metaphors of more abstract dimensions e.g. Subway maps, narrative maps IV. By combinations of these (e.g. with layers, etc.)
  • 25. What are some functions, or effects, of these visualizations?
  • 26. These visualizations tell stories Or, they start conversations, which is just as good
  • 28. These visualizations operate at the border between narrative and data Notice how we move from a map, to a story based on a map, to a map of a story …
  • 29. Joanna Guldi @joguldi Dr. Jo Guldi is Assistant Professor of History at Brown University. Before that, she was an historian at the Harvard Society of Fellows and a Mellon Postdoctoral Fellow in Digital History at the University of Chicago, as well as a fellow of the Institute for Enabling Geospatial Scholarship. Her book, Roads to Power (Harvard 2011), describes how Britain invented infrastructure and strangers stopped speaking on the public street. Jo is currently working on a history of capitalism and its relationship to land use that will focus upon the international land reform movement of the nineteenth century.
  • 30. ―My first papers started at the hamster level — the cool patterns I could find using keyword searches in Google Books.‖ Guldi found, for example, that 90 percent of English words denoting locomotion — creep, crawl, stride, scurry, waddle, meander, dash, and so forth — appear with noticeably greater frequency within 30 years of urbanization and the British road network. To an historian, this points to an important but subtle change in how the general public observed each other and interacted. English, it turns out, is easily OCR’ed.
  • 31. Guldi shows us that stories, which are inherently temporal, can be spatial as well 18th and 19th century Britain and France produce numerous examples of “spatial literature” Landscape catalogs, tour guides, “object stories”
  • 33. What do landscape catalogs remind you of? What do object narratives remind you of?
  • 34. Database literature? Vertov’s Man with a Camera? There is a close connection between space, geography, and place on the one hand and database on the other
  • 35. The need to control people and land, which coincides with the rise of the modern nation state, produces both statistics and spatial literature The result of this process is Big Data from the past. What can we do with it?
  • 36. Texts also represent time … How can we extract it?
  • 37. One approach is to mine @heml these texts for historical information. Bruce Robertson, Professor of Classics at Mount Allison University in Canada, has developed a markup approach to extracting and indexing data from documents. It’s an approach similar to what we are doing with our Character Index.
  • 38. HEML – Historical Event <heml:Chronology> Markup Language – is a <heml:DateRange> <heml:StartingDate> way to mark up source <heml:DateTime> texts and then index 1995-05-21T21:03Z them so they can be </hemlDateTime> </heml:StartingDate> search, queried and <heml:EndingDate> visualized <heml:BoundedDate> <heml:TerminusPostQuem> <heml:Date>2005-03-21</heml:Date> </heml:TerminusPostQuem> <heml:TerminusAnteQuem> <heml:Date>2005-03-21</heml:Date> </heml:TerminusAnteQuem> </heml:BoundedDate> </heml:EndingDate> </heml:DateRange> </heml:Chronology>
  • 39. Is this an accurate general representation of an historical “event”?
  • 40. HEML has been extended to use RDF, a language that allows you to use markup to define relationships between things Statement : <#Arrival_of_the_Greeks> <hemlRDF:simpleDate> -1600 Reified Statement A: <#Drewes> <hemlRDF:asserts> (<#Arrival_of_the_Greeks> <hemlRDF:simpleDate> -1600) Reified Statement B: <#Renfrew> <hemlRDF:asserts> (<#Arrival_of_the_Greeks> <hemlRDF:simpleDate -6000) In RDF – the foundation of what is called the “semantic web” – anything can have a URL, including people, places, ideas, etc. Textual passages can then be linked to their semantic contexts.
  • 43. Tools You Can Use • Google Maps • Google Earth and KML • SIMILE Timeline • Dippity • TimeGlider

Editor's Notes

  • #8: Original: http://www.flickr.com/photos/culturevis/4048646419/sizes/o/in/set-72157622608431194/ film: The Eleventh Yeardata: every shot of the film is represented by 1 frameThe frame are arranged by brightness kurtosis (X) and number of shapes (Y). (Note that frames overlap so not all of them are visible).
  • #14: Playfairhttp://upload.wikimedia.org/wikipedia/commons/thumb/5/52/Playfair_TimeSeries-2.png/800px-Playfair_TimeSeries-2.png
  • #15: http://www.snd.org/wp-content/uploads/2010/02/Playfair_1.jpg
  • #16: http://cartographia.files.wordpress.com/2008/05/minard_napoleon.png
  • #17: http://gerrycanavan.wordpress.com/tag/literature/
  • #18: http://www.princeton.edu/~rvdb/JAVA/election2004/
  • #19: Height is voter density (voters per square mile) so that volume represents total number of voters.
  • #21: http://www.google.com/imgres?hl=en&amp;tbo=d&amp;biw=1344&amp;bih=764&amp;tbm=isch&amp;tbnid=vHrzeA22tHv3zM:&amp;imgrefurl=http://bestdesignoptions.com/%3Fp%3D11141&amp;docid=zcF6BFqoqpxG8M&amp;imgurl=http://bestdesignoptions.com/wp-content/uploads/2010/05/graphic-resume-18.jpg&amp;w=500&amp;h=517&amp;ei=6l2iUNCnEOPB0AH2q4GABw&amp;zoom=1&amp;iact=hc&amp;vpx=808&amp;vpy=232&amp;dur=4298&amp;hovh=228&amp;hovw=221&amp;tx=149&amp;ty=142&amp;sig=115688580220565505882&amp;page=2&amp;tbnh=136&amp;tbnw=126&amp;start=27&amp;ndsp=36&amp;ved=1t:429,r:18,s:20,i:190
  • #28: Visualization use space and time to tell stories – provide images of causation and correlation
  • #32: Which brings us to Jo Guldi