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2D and 3D visualization of air quality sensor data.

Home Page: https://olwal.github.io/air/3d

HTML 0.75% JavaScript 99.25%

air's Introduction

3D visualization of air quality sensor data

2020 | Bay Area Air Quality Year in 4D Review

This project visualizes air quality data overlaid onto a 3D geographical map. The map shows hourly data from thousands of sensors and allows interaction and playback of air quality pattern across various locations. These visualizations particularly highlight the significant impact that the 2020 Bay Area fires had on air quality, but can be used to explore patterns throughout the full year.

Tested platforms:

  • iOS (iPhone/iPad): Tested with Firefox, Chrome and Safari.
  • macOS/Windows: Tested with Firefox, Chrome and Safari.
  • Android: Tested with Firefox and Chrome. (clicking on city label not currently supported)

Use the menu to select a city, radius for the area to show sensors, and date range. Given the potential large amount of sensor data at a specific location/radius, the interface does not dynamically load new data as the map is panned. However, one can click a different city directly to load new data.

Live 3D demo with time-series sensor data

Pan SF to San Mateo Pan to SF

The application allows specification of location in California, start and end dates and other parameters for the visualization. (see URL parameters, below, for full list)

The animated 3D visualizations are based on sensor data from PurpleAir, leveraging JavaScript, procedural-gl.js and p5.js. Data files preprocessed with Python and Jupyter Lab.

2020 Bay Area fires

Here is a sample collection of interactive 3D visualization of air quality sensor data within a certain radius from the location, references to 3rd party material, and timelapse videos of the 3D visualizations. The visualizations are specified and configured through URL parameters.

LNU Lightning Complex Fires | Aug 17 to Oct 02

Interactive demo | Napa | Aug 16-Oct 03:

Napa

Interactive demo | Santa Cruz | Aug 16-Sep 23:

Santa Cruz

Interactive demo | Santa Clara | Aug 15-Oct 03:

Santa Clara

2020 | 1-year Time Series

These full-year datasets take quite some time to load. Firefox on Desktop seems most stable in loading these.

3D views

Pan to San Francisco Rotating around San Francisco

Rotating around East Bay Approaching Silicon Valley

Input controls

Navigation

key command description
o ENTER orbit Start orbiting around location, click with mouse to stop
f focus Focus on specific location

Rendering

key command description
l labels Show/hide location labels
g graph Show/hide graph

Playback

key command description
p SPACE play/pause Start/stop playback
r rewind Rewind to beginning
x/X speed Increase/decrease playback speed
{ N < 10 back Step back 10 frames
[ n , 1 back Step back 1 frame
] m . 1 forward Step forward 1 frame
} M > 10 forward Step forward 10 frames

Interface

key command description
h help Show/hide instruction hint
ESC abort loading Abort loading data, useful when loading large datasets

Mouse motion

action description
Right button + move Rotate
Shift + Left button + move Rotate
Left button + move Pan
Center button + move Zoom
Scroll wheel Zoom
Click on location Load data for the location
Click on data point Focus on that data point

URL parameters

parameter description example default
location Bay area cities or one of the 3 lightning complex fires (see above). location=Santa Cruz
longitude Longitude for location. Not used if location parameter is specified. longitude=-122.08 -122.4194
latitude Latitude for location. Not used if location parameter is specified. latitude=37.4 37.7749
radius Radius (m) of area from the location to load sensor data for. radius=10000 7500
distance Canera distance distance=50000 20000
start_date YYYY-MM-DD for time series start. 2020-01-01 <= start_date <= 2021-01-01. start_date=2020-10-01 2020-08-19
end_date YYYY-MM-DD for time series end. 2020-01-01 <= end_date <= 2021-01-01. end_date=2020-11-25 2020-09-15

Examples:

description example
San Mateo, Sep 30-Oct 03 http://olwal.github.io/air/3d?location=San%20Mateo&start_date=2020-09-30&end_date=2020-10-03
Longitude/Latitude (Between Mountain View and Cupertino) with default dates http://olwal.github.io/air/3d?longitude=-122.08&latitude=37.35
Default location and dates, but 20 km radius http://olwal.github.io/air/3d?radius=20000
Alameda, Aug 15-Oct 03, 20 km radius, 30 km camera distance http://olwal.github.io/air/3d?location=Alameda&start_date=2020-08-15&end_date=2020-10-03&radius=20000&distance=30000

Acknowledgments

Many thanks to Oskar Rönnberg, Carsten Schwesig, and Sebastian Rinnebach for insightful feedback on the interface and features. Special thanks to Felix Palmer for discussions and for providing the open source procedural-gl.js library.

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