This one is like a culmination of the other two projects. More features and a lot smoother than earth.nullschool.net, I can really see this being useful for navigation.
It's also a perfect example of why open source kicks ass, with the chain of inspiration from one project to the next.
Well, this is one of the rare cases where using Mercator as the default projection is justifiable, since this map is most useful for navigation.
An option to switch projections would be very nice, but I can imagine very difficult to implement. earth.nullschool.net has this option, but I'll wager it was only doable because of the the ultra-minimalist map used.
We were looking at this in the office on Friday, watching Hurricane Patricia (it's not much use for the high-speed predictions we usually need, but it's a really beautiful way to visualise/understand the data after the fact). The Mexican government prepares for these storms, issuing catastrophe bonds that pay a high rate of return but lose all their value if high-impact storms hit populated areas so the government can fund their aid/reconstruction efforts. As someone who sometimes finds it difficult to follow all the links between what we do and real-world value, it's great seeing financial products being used so directly for good.
Cat bonds were developed by insurance companies to offset the potentially large losses associated with natural disasters.
Investors purchase cat bonds, which pay interest as long as no predefined trigger conditions are met. If the trigger condition, such as a damaging hurricane, occurs, investors forfeit their principal, which is used to pay claims arising from the catastrophe.
Investors like them because they offer enticing, uncorrelated returns, and insurers like them as an alternative to reinsurance.
Does anyone have recommendations on good toolsets for visualization like this? I'm diving into canvas/d3/raphael but would love to look into other options if they're out there.
The fantastic thing about this project is that they've open sourced the code [1]. With a little help from NOAA and some work with the GRIB data format [2], I was quickly able to build this into an customized interactive museum exhibit that's in two science centers now.
We could never have afforded to build this from scratch. Open Source to the rescue, once again.
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http://earth.nullschool.net/
Wind, temperature and waves.
It's also a perfect example of why open source kicks ass, with the chain of inspiration from one project to the next.
An option to switch projections would be very nice, but I can imagine very difficult to implement. earth.nullschool.net has this option, but I'll wager it was only doable because of the the ultra-minimalist map used.
[1] https://www.windyty.com/?2015-10-22-12,17.958,-101.558,5 (hit play and watch the next 48 hours, 200 mile an hour winds disappear as soon as they hit land, it's amazing)
Would you care to expand on these and how they work? They sound interesting!
Investors purchase cat bonds, which pay interest as long as no predefined trigger conditions are met. If the trigger condition, such as a damaging hurricane, occurs, investors forfeit their principal, which is used to pay claims arising from the catastrophe.
Investors like them because they offer enticing, uncorrelated returns, and insurers like them as an alternative to reinsurance.
You can learn more about them here: http://www.artemis.bm/library/what-is-a-catastrophe-bond.htm...
Inspecting the code a bit I'd say regarding the viz it's based on leaflet.js+canvas(custom overlays)? No trace of d3js, threejs,etc.
I'm happy to see riotjs so nicely used as well.
http://weather.msfc.nasa.gov/GOES/goeswestpacus.html
It doesn't seem to be named. The one closer to Hawaii is Olaf.
http://www.wunderground.com/hurricane/
This site is great work - I enjoy rediscovering it on what I suspect is an annual basis.
I don't know if you know this technology but is so powerful, http://threejs.org/
We could never have afforded to build this from scratch. Open Source to the rescue, once again.
[1] - https://github.com/cambecc/earth
[2] - https://github.com/scimusmn/earth-latest-data