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UID:pretalx-foss4g-2022-DWYJZR@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T154000
DTEND;TZID=CET:20220825T154500
DESCRIPTION:The web is an effective way to communicate complex spatial scie
 ntific data and make them more accessible to more people. As an example\, 
 web maps with particle streams are used to communicate efficiently wind or
  ocean current data. As glaciers are flowing just like wind or water\, we 
 used this « particle » approach to develop a map of Antarctica showing
  glacier movement. But\, as scientists\, JavaScript is not our day today d
 ev language. We present our strategy to map moving ice particles over the 
 web using scientific data. Open codes and tools helped us a lot to move fr
 om scientific to web worlds. The prototype was implemented in the observab
 leHQ collaborative development environment\, reducing the learning curve a
 nd facilitating transfer from similar applications. The notebook environme
 nt is well suited to work in an iterative process and obtain a readable co
 de to make it reproducible by other scientists. Even for the non-common An
 tarctica coordinate reference system\, the D3.js library was the only one 
 used to map data. Finally\, the animated map was transferred to a web appl
 ication for scientific communication purposes.
DTSTAMP:20260404T094512Z
LOCATION:General online
SUMMARY:As a scientist\, how to dive into JavaScript for data visualization
 ? An example with a particle stream to illustrate the movement of glaciers
 . - Jean Baptiste Barré
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/DWYJZR/
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