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[Epic]: DistrictComparison about esid HOT 5 OPEN

NXXR avatar NXXR commented on July 1, 2024
[Epic]: DistrictComparison

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NXXR avatar NXXR commented on July 1, 2024

This paper:
Comparing Performance Heatmaps by D. Krakov and D. G. Feitelson
Discusses Comparison Techniques for Heatmaps (3 Dimensions of Data) and may provide a starting point for comparison techniques of the scenarios.

  • Most straightforward solution would be to paint a heatmap of simple or ratio difference between both scenario values.
  • Some relation to Kullback-Leibler Divergence may also be viable.
  • The later comparison techniques (Ch 5) like quiver plot don't appear useful in our case

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PawanKaur avatar PawanKaur commented on July 1, 2024

Heatmaps are the good solution for comparison. Very straight forward solutions would be, making a grid heatmap based on the geographical map. In this heatmap, rows are different simulations and columns are different states. Change in the color shows the change in the percentage of the infected people. Nested bars shows node information. For example like here.
viz idea
gridheatmap

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NXXR avatar NXXR commented on July 1, 2024
  • move view to district map location
  • 2D grid of nodes roughly georeferenced
  • 2 views
    • scenario comparison
    • compartment comparison

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PawanKaur avatar PawanKaur commented on July 1, 2024

For 2D grid of georeferenced nodes -

The solution needs to be implemented is available in paper
https://www.gicentre.net/woodspatially2008

image

Inside the grids will be nested visualizations.

The code is old and is available in java with depedency to processing 3
https://www.gicentre.net/software#/treemappa/
https://github.com/gicentre/treemappa

It wont run in the current version of processing4.
Needs to remove the dependancy on processing3 and clean the code. If the code works, then we can implement it in ts-js.

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PawanKaur avatar PawanKaur commented on July 1, 2024

After the gridified map is finished, we might need the result of this study to use the effective zooming and lens style.

https://dl.acm.org/doi/abs/10.1145/3491102.3517673

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