Mobile and Web Apps¶
Contents
Mobile App: ShakeNet for Android and iPhone¶
Visualize your Raspberry Shake’s data on our ShakeNet mobile app!
ShakeNet: Raspberry Shake’s Web Portal¶
URL: ShakeNet
Check out our comprehensive web portal, connecting you to sensors and fellow Shakers around the world!
Station and Earthquake Map (StationView)¶
URL: stationView
Note
It is possible to fully customize the latitude, longitude, and zoom level parameters of StationView, to be able to bookmark and show the page always set to a precise location. Some examples follow:
- https://stationview.raspberryshake.org/#/?net=AM&sta=R1607 - Center the map around the given Shake and show the given shake data in the sidebar
- https://stationview.raspberryshake.org/#/?net=AM&sta=R1607&lat=12&lon=40&zoom=10 - Center the map around 12;40 with zoom level 10 and show the given Shake data in the sidebar
- https://stationview.raspberryshake.org/#/?lat=12&lon=40&zoom=10 - Center the map around 12;40 with zoom level 10 and do not show any data
This is a map of global earthquake solutions generated using the stations in the Raspberry Shake network.
This means that YOU are now your own source of earthquake solutions.
The denser the network, the faster and more accurate the earthquake solutions. So please help us spread the word.
Sound App¶
URL: sound.raspberryshake.org (you must be signed into ShakeNet).
Earthquake example: As recorded by Raspberry Shake
Rocket launch example: Feb, 2018 SpaceX Falcon Heavy from 10 km away, as recorded by the Raspberry Boom
What it does:
raspishake2sound generates a video showing the waveform and spectrum together and converts the waveform to the audible frequency range of the human ear.
Note that the audible frequency range of the human ear is 20 - 20,000 Hz and most earthquake energy is in the roughly 0.8 to 5 Hz range, or well below what is audible.
Output format: MP4
How is an earthquake/ waveform converted to sound?:
What you hear is the normalized samples of the input trace, fed to the sound card with a higher sampling rate. In a way, you indeed listen to the earthquake.
Technical details: Samples of the input trace are 1) normalized (max.value becomes 1, other samples scaled accordingly); 2) written to a MP4 file with a new sampling rate (more on this below); and 3) this MP4 file is amplified by 10 dB and re-sampled to some standard audio sampling rate like 44100Hz. The new sampling rate from step 2) is determined as follows: input sampling rate is just multiplied by 140. This makes a trace recorded at 50 Hz (SHZ channels) become a sound sampled at 7000 Hz (quite audible), and a trace recorded at 100 Hz (EH?/EN? channels) become a sound with a 14000 Hz sampling rate. Because the number of samples remain the same, the MP4 file becomes 140 times shorter than the input trace. For example, 900s of input trace becomes ~6.4s of audio.
Re-sampling summary:
- Normal: 50 Hz becomes sound sampled at 7000 Hz
- Twice as slow: 50 Hz >> 3500 Hz
- Four times as slow: 50 Hz >> 1750 Hz
How is event list populated?:
global events fetched: M6.5+ in last month
regional events fetched: M4.5+ in last month within 5 degrees of station, where 1 degree = ~112.5 km
local events fetched: any event within 1 degree of station, last month
The same events are returned as are available on StationView.
This is not configurable, but you can always enter the event time below if you want to look at an event that does not appear in the list.
