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

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Presentation on theme: "Fishery View Project Team: Ying Zhang, Lan Wu Improvement of Time Series Line Chart Visualization of Fishery Data."— Presentation transcript:

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

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 human’s 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.

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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.

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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.

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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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