Fishery View - PowerPoint PPT Presentation

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Fishery View

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The Fishery Department at UBC uses a tool called Ecopath to perform the ... of marine species in a food network and impact of human's fishing strategy on them. ... – PowerPoint PPT presentation

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Title: Fishery View


1
Fishery View
Improvement of Time Series Line Chart
Visualization of Fishery Data
  • Project Team
  • Ying Zhang, Lan Wu

2
Fishery View
  • Background
  • The Fishery Department at UBC uses a tool called
    Ecopath to perform the analysis on the
    relationship of marine species in a food network
    and impact of humans fishing strategy on them.
  • Ecopath uses a line chart system to draw the
    trends of all fish populations.
  • The line chart is as the following

3
Can anyone see problems with this graph?
4
Problems
  • Currently fish groups are represented by
    different colors of lines on the graph.
  • However, due to the number of lines drawn on the
    screen, the chart suffers from an overload of
    visual information because of cluttering and
    overlapping.

5
Proposed Solution 1
  • Line Layering with Brushing through the Names of
    Fish Species
  • The diet matrix describes the relationship of
    eating and being eaten (related and unrelated).
  • By moving the mouse onto the top of a specific
    fish species , all the lines of its related fish
    species will be highlighted based on the diet
    matrix using a multiple color scheme. Any other
    lines of unrelated fish species will be put in
    the background in gray color.

6
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7
Proposed Solution 2
  • Difference Graph
  • This is to present the change of all kinds of
    fish population before and after a fishing
    strategy is applied. By only plotting the
    difference on the graph, the impact of fishing
    strategy on fish population will be clearly
    shown.

8
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9
Proposed Solution 3
  • Line Clustering.
  • We first sample M time points along the time
    series and record the population of each of the N
    fish species at that time point.
  • With the matrix describing the fish population on
    the M time points provided, we calculate the
    sum-of-square-difference between each two of
    these N fish populations. With these data, we can
    construct the 'clustering matrix'.
  • By searching in the 'clustering matrix', we can
    find the most similar fish species based on
    sum-of-square-difference, and then cluster them
    into one group.

10
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11
Proposed Solution 4
  • Line Chart Zooming
  • For the current line charts, all the lines drawn
    overlap with each other seriously.
  • Zooming can enlarge a specific area of the line
    chart to a certain scale, so that the difference
    among the lines can be easily viewed.
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