MotionRugs: Visualizing Collective Trends in Space and Time (2018)

ncbi.nlm.nih.gov

24 points·lichtenberger··7 comments

Open articleView on HN

"QuTiP example: Qubism visualizations" https://nbviewer.jupyter.org/github/qutip/qutip-notebooks/bl...

And in my PhD thesis, there is a longer part on using recursive 2d visualizations:

https://arxiv.org/abs/1412.6796

3 Visualization of quantum sequences 3.1.3 Visualizing sequences

Interesting use of Hilbert curves to flatten 2d images and still retain spatial coherency.

Does anyone have a good resource for how to do this on a hexagon grid?

There is the Gosper curve : http://www.toroidalsnark.net/mkss3-pix/CalderheadJMM2014.pdf https://en.wikipedia.org/wiki/Gosper_curve

Thanks dude!

If you think you want to use a Hilbert Curve for cache locality (on a square grid), you might want to check out the Z-Order Curve instead - https://en.wikipedia.org/wiki/Z-order_curve . It has less ideal locality properties but can be computed more efficiently.

Can we access the publication for free? Someone changed the link, originally it was:

https://scibib.dbvis.de/uploadedFiles/MotionRugsPreprint.pdf

"For the Z-Order Curve we found that it is prone toproduce “Phantom-Splits”, visual artifacts creating the impression of a physical split of the entities when there is none. The Hilbert Curve insteaddisplays the spatial dynamic better than the Point-QuadTree and shows fewer artifacts than the Z-Order."

I have pretty comprehensive journal access through my job but I still couldn’t get this one.

It makes sense that the Hilbert curve gave more accurate results, and in that application it probably makes sense to spend more compute time for a better visualization.

Reply on news.ycombinator.com