Maps, Lies and Storytelling | P01| Introduction

35f4d000a88cdbcf6392dfb206ebd5e2?s=47 Andrew W Hill
September 02, 2014

Maps, Lies and Storytelling | P01| Introduction

Introduction to the class. Personal introduction. Structure of assignments. Etcetera

35f4d000a88cdbcf6392dfb206ebd5e2?s=128

Andrew W Hill

September 02, 2014
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Transcript

  1. Class 1 - What is a Map? Maps, Lies &

    Storytelling @AndrewXhill Fall - 2014
  2. Welcome!

  3. Why are we here?

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  5. build a better understanding of maps

  6. LEARN techniques for creating maps

  7. understand what modern maps really are and do

  8. To do that, we will each focus on a single

    **research topic** through the semester
  9. research topics

  10. we translate each assignment into our specific topic area

  11. we will keep the same topic

  12. The title of each topic will be in the form,

    ! “The lie of…”
  13. The lie of…

  14. The lie of accessibility e.g. how do flat-maps and navigational

    maps hide the fact that the world is 3D? how does this affect people with mobility issues?
  15. The lie of environment how is environment portrayed in maps?

    what thematic methods are used by the NPS and Google? What is wild versus a garden and how have maps treated them?
  16. The lie of census How do numbers portray our population?

    what does it miss from reality? how can we bridge this gap better?
  17. The lie of color what tricks can you play with

    color on a map? What happens to people’s perception of data you are mapping? can you flip their beliefs only by color?
  18. The lie of weather maps often don’t change based on

    the weather. can we explore what would happen if they did? how does our perception of the world change based on the rain?
  19. The lie of time nothing is static. what has changed

    and how do we show it? what happens when we can draw maps out over time? what happens to things erased by time?
  20. The lie of location where am it? what is the

    best way to get home? where is my friend? where is a restaurant? what lies can and will be told based on your location?
  21. The lie of language it is easy to think your

    world exists in your language. what happens to maps when languages change? how can you make maps that are immune to the language of the viewer?
  22. The lie of transportation… politics… borders… etc…

  23. Assignments

  24. every assignment will include the creation of at least 1

    map
  25. Every map will probably ! 1. tell a lie 2.

    tell a story
  26. A link, video, or image gallery ! At least one

    paragraph describing your map and what it tells us **lies & stories** For every map you should submit
  27. by the end of the semester, each of you should

    have a gallery of epic maps to share
  28. and a ton of insights into how to start any

    map you imagine
  29. How would you like to curate the gallery? ! individual

    pages, or course page
  30. be comfortable ! mixing multimedia into your maps, hiding your

    map or making it non-visual, getting out in the streets and interview people, or to draw intersections, or to measure steps and collect new data
  31. resource gist —> bl.Ocks http://bl.ocks.org/

  32. Guest speakers

  33. m. keller a. moser j. roberts @auremoser | ushahidi @mhkeller

    | al jazeera @fantasticmaps | fantasticmaps.com
  34. a few rules

  35. plagiarism policy

  36. timeliness

  37. a bit about myself so to get started…

  38. @andrewxhill ah162@nyu.edu

  39. office hours also available @ 247 Centre Street, 6th Floor

  40. biologist

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  45. Developer

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  48. Mapper

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  54. Acceleration of maps A Rapid

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  58. Maps/stories

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  66. I like to make…

  67. Maps to share x

  68. c4a.me/1dYHKv9/ PLUTO IS FREE

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  73. Missing movie… http://bit.ly/pluto-data

  74. Maps to Learn x

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  80. Missing movie… http://bit.ly/nychenge

  81. Maps to Change x

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  85. source: bing

  86. WITH  hgrid              AS  (SELECT

     Cdb_rectanglegrid(Cdb_xyz_extent(8,  12,  5),                                    Cdb_xyz_resolution(5)  *  4,                                                          Cdb_xyz_resolution(5)  *  4)  AS  cell)     SELECT  x,                  y,                  Array_agg(c)  vals,                  Array_agg(d)  dates     FROM      (SELECT  St_xmax(hgrid.cell)                                                                                        x,                                  St_ymax(hgrid.cell)                                                                                        y,                                  Count(i.cartodb_id)                                                                                        c,                                  Floor((  Date_part('epoch',  built)  -­‐  -­‐10418716800  )  /  32837875)  d                    FROM      hgrid,                                  us_po_offices  i                    WHERE    St_intersects(i.the_geom_webmercator,  hgrid.cell)                    GROUP    BY  hgrid.cell,                                        Floor((  Date_part('epoch',  built)  -­‐  -­‐10418716800  )  /  32837875)                  )  f     GROUP    BY  x,                        y
  87. None
  88. 1 10 100 1000 3mb 70mb 300mb 1.5 2 1.2

    300 70 3 Raw Datacube
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  90. Missing movie… http://bit.ly/globalfor

  91. why maps? The question of the semester

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  99. The data is coming

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  105. but, before we turn to the future