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#dataviz

24 posts22 participants0 posts today
ruthpozuelo<p>So, pre-race analysis part one: Check the course profile.</p><p>Why is that useful? </p><p>I have done that on an upcoming race, and this is what I learnt so far:<br>The race start after 15kms , if my legs are not fresh there, it is game over.</p><p>The blue line is the accumulated elevation gain per 5kms.</p><p>T=time tracking<br>V = water + food station</p><p>Next = how much food and water i need to carry. That is a fun one as I need some manual data collection</p><p><a href="https://mastodon.social/tags/run" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>run</span></a> <a href="https://mastodon.social/tags/running" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>running</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> <a href="https://mastodon.social/tags/runnersofmastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>runnersofmastodon</span></a></p>

In today's #gleo news: Different per-point colour on Stroke symbols.

And, since Gleo can take a symbol and replace RGBA colour into heatmap intensity, it's easy to make a visualization of a magnitude (e.g. vehicle speed) over a trajectory.

You can try this out at ivansanchez.gitlab.io/gleo/rep ; note how the heatmap intensity is summed at the places when the line overlaps itself.

There's a whole bunch of recent #ThingUmbrella updates which I still have to write about, but one of the things is the reworked, improved and more customizable optical flow (aka thi.ng/pixel-flow package). The visualization in this test video is showing it in action via color-coded overlaid flow field vectors (once again worst-case scenario for video compression, let's see how it comes out [or not...])