Difference between revisions of "Main Page/Research/MSB/Overall Strategy"

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(New page: ''Based on discussion with Miles, 2008-09-23'' # Define and explicate a new data-driven construct for conceptualizing movement in urban environments. ## Three typologies of movement: ### D...)
 
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Latest revision as of 19:37, 26 January 2009

Based on discussion with Miles, 2008-09-23

  1. Define and explicate a new data-driven construct for conceptualizing movement in urban environments.
    1. Three typologies of movement:
      1. Dwell
        XY-aggregated locations at which a substantial amount of "non-moving" time is spent; may include short, punctuated bouts of "moving" points
      2. Trip
        linear collections of "moving" points, may contain short, punctuated bouts of "non-moving" points
      3. Stop
        XY-aggregated locations of "non-moving" points within trips
    How have others attempted to define & measure this or a similar typology?
    What does this new paradigm have to offer?
    What data set would be necessary to investigate the use of this paradigm?
    What hypotheses could be tested using this construct?
  2. Explicate methodology for obtaining & processing data set
  3. Hypotehsis testing for hypotheses made in step 1
  4. 4D data frame
    1. XY (Cartesian)
    2. Z (elevation)
    3. time
    4. attribute(s) of points
    Display a cloud of XYZt data with unique value classification of an attribute
    "Collapse" one of the dimensions by viewing data cube endwise
    Look for patterns across subjects, dwell, or trip types.