Craig Taylor Profile picture
Oct 19 ā€¢ 6 tweets ā€¢ 6 min read
šŸ§µ The Global Tanaka Project ā€“ Update 3 šŸŒŽšŸŒšŸŒ
This week's update shows a busier globe with a soothing score šŸŽ¶, more plane/ship activity, biomes and vegetation, landmarks, volcanoes, a moon and the ISS satellite! Details below... #map #animation #3d
Biomes:
Using data from sciencebase.gov/catalog/item/5ā€¦ I wanted to create a distinct feel for each ecosystem ā€“ this needs work still and I need to source some better low-poly vegetation models but I think it helps to distinguish eco regions.
Volcanoes:
I love @SonjaKuijpers idea about adding volcanoes and so found some data for volcanoes (volcano.si.edu via ArcGIS Online) with an ā€˜advisoryā€™ or ā€˜watchā€™ threat level, otherwise there are too many! I need to get these animated and integrated properlyā€¦
Landmarks:
I love the idea of adding in global landmarks so have started compiling a list so the current version is far from exhaustive. They definitely give a ā€˜Civilizationā€™ vibe to the global map!
Moon / ISS:
@mxfh suggested adding a moon, I loved the idea of a small Tanaka moon - totally needs sense checking etc but proof of concept is there. Iā€™ve also added an orbiting ISS, just because!
Next steps:
I want to keep building on this map but my bigger question is whether it should exist as two versions; human vs environmental?
I want to look into global animal migrations next as well as squash a ton of niggly issues in the current version! Watch this space... #map

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More from @CraigTaylorViz

Sep 14, 2021
Thread: I'm working on a new concept visualisation for occupancy data in BODs which utilises #3d 'mounds' to show the net change of people on buses. I thought I would share my janky workflow to give a bit more transparency into how this is made 1/
2/ First I start with 24 hours of data (Newcastle), whenever there is a change in occupancy levels points are created for the change. It's nice to see patterns along roads but it means very little at this stage, huge overlap in points etc.
3/ I filter points for each hour and individual change state (positive/negative). Hourly totals give nice patterns of commuter activity and are generally easy to manage. There is still overlap though and volume is difficult to make out at any given point.
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