I wish there was an Aztec goddess of tea drinking called Pollyputthekettleon.

Not that the Aztecs had tea drinking, if only the Chinese treasure ships had connected up across the Pacific…

Another strange hole over Havana

https://adsb.exposed/?dataset=Planes&zoom=10&lat=23.0304&lng...

And interesting spotted patterns around some air force training bases (Vance and Sheppard):

https://adsb.exposed/?dataset=Planes&zoom=7&lat=34.7605&lng=...

Can’t tell if it’s the same spot or not

https://www.reddit.com/r/StrangeEarth/comments/1e476ob/weath...

Area 51 similarly stands out in Nevada.

that's interesting how it's not really centered like my mind assumed it would be

Thanks! we'll put the repo link in the toptext too, along with the Show HN from last year: https://news.ycombinator.com/item?id=45583734

Boeing vs Airbus:

    count() AS total,
    sum(desc LIKE 'BOEING%') AS boeing,
    sum(desc LIKE 'AIRBUS%') AS airbus,
    sum(NOT (desc LIKE 'BOEING%' OR desc LIKE 'AIRBUS%')) AS other,

    greatest(1000000 DIV {sampling:UInt32} DIV zoom_factor, total) AS max_total,
    greatest(1000000 DIV {sampling:UInt32} DIV zoom_factor, boeing) AS max_boeing,
    greatest(1000000 DIV {sampling:UInt32} DIV zoom_factor, airbus) AS max_airbus,
    greatest(1000000 DIV {sampling:UInt32} DIV zoom_factor, other) AS max_other,

    pow(total / max_total, 1/5) AS transparency,

    255 * (1 + transparency) / 2 AS alpha,
    pow(boeing, 1/5) * 256 DIV (1 + pow(max_boeing, 1/5)) AS red,
    pow(airbus, 1/5) * 256 DIV (1 + pow(max_airbus, 1/5)) AS green,
    pow(other, 1/5) * 256 DIV (1 + pow(max_other, 1/5)) AS blue

    SELECT round(red)::UInt8, round(green)::UInt8, round(blue)::UInt8, round(alpha)::UInt8

The greener the pixel, the more Airbus planes there.

The bluer the pixel, the more non-Boeing/Airbus planes there.

The less transparent the pixel, the more planes in total.

White means all planes fly there, yellow means Boeing and Airbus dominate, red means Boeing dominates, green means Airbus dominates, cyan means Airbus+others, magenta means Boeing+others, etc.

I see you highlight that, but I believe the visualization is designed to be intuitive once you interact with it a bit—no legend stricty needed if you calibrate against what you already know.

Pick a flight you know (maybe one near yer home) and play with the options -- what patterns emerge? Red draws attention, “Boeing vs. Airbus” compares data, while “Altitude & Velocity” combines them. Explore hands-on; discovery often makes insights click better than instructions.

This is super cool.

Where is the bird dataset coming from? I assumed ebird at first, but these datapoints don't map on to ebird hotspots...

Also, where did you get the collection of creative commons licensed bird species photos?

Awesome work, but please consider providing some contrast options. You can't see the country or continent boundaries unless they are full of tracks (or at least I can't.)

what's going on around colorado springs with these shapes?

https://adsb.exposed/?dataset=Planes&zoom=9&lat=38.2165&lng=...

What is "You"? I tried reading the query to understand but couldn't figure it out

Haha, great! Honestly where did you get some of these datasets? Birds????? :)

Reminds me of the galaxy view in No Man's Sky. Very cool. It's also the type of visualisation I'd imagine would be perfect seen through the lens of a Vision Pro or similar.

https://airplanes.live/get-started/

(other sites are corporate or have sold out [adsbexchange], happy to contribute reasonable costs to get a feed, no affiliation, I just like sensor feeds, thank you for the offer and consideration)

Check out https://adsb.im

sdr-enthusiasts [0] produces some very nice self-contained Docker images as an alternative to the `curl | sudo bash` style of install script that plagues a lot of the ADSB ecosystem.

most likely all you need is their "ultrafeeder" [1,2] image.

0: https://sdr-enthusiasts.gitbook.io/ads-b

1: https://sdr-enthusiasts.gitbook.io/ads-b/foundations/deploy-...

2: https://github.com/sdr-enthusiasts/docker-adsb-ultrafeeder

You can get containerized feeders for services like fr24 (e.g. liggy1/fr24feed) but that may not meet your requirements since it's really intended to handle everything from the sdr to the API, not siphon off data you are collecting some other way and then feed it.

It's good to be careful. A popular ADS-B network used to distribute a raspberry pi image that let the maintainers ssh into your machine whenever they wanted.

ADS-B is easy to receive with an 'rtlsdr' and opensource tools.

float.exposed is fun

"ADS-B Massive Visualizer" is the right title per https://github.com/ClickHouse/adsb.exposed

I know! I think the creator, brilliant as they must be, is not an English native speaker. Or perhaps they simply enjoy the controversy / provocation heh :)

Last I looked at it coverage is pretty good for land globally? Sea less so.

The bigger issue is that in first world buying a sdr dongle for giggles is viable while in poor countries less so. A raspberry and dongle is a substantial investment if you’re earning 1/20th of a US salary. Don’t think there is an issue with willingness to share data

How to utilize sat feeds with open data? Across ADS-B track data (like OpenSky Network) South America, Africa and Oceania seem covered in addition to Europe and America, as does East Asia, and India. But China, and some parts of Central Asia and Middle East appear absent?

A lot of people running SDRs send beacon info upstream on the internet.

I have had no problem accessing ADSB data for various parts of Asia.

Nice find! The GitHub repo near the top of that thread is great, too: https://github.com/ClickHouse/adsb.exposed

For those wondering the license is a CC-NC-ShareAlike type

Thanks! Macroexpanded:

Show HN: ADS-B visualizer - https://news.ycombinator.com/item?id=39990346 - April 2024 (76 comments)