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Mapping Air Population
&
Mapping Real-Time Flight Data
Michael P. Peterson & Paul Hunt &
Konrad Weiß
Geography / Geology
University of Nebraska at Omaha
Air Population
• Air population refers to the total number of
people flying above the earth at any point in
time.
– a distinct and separate population from those still
physically connected to earth
• Ephemeral, like urban areas having a “high
daytime population”
– Air population exhibits similar daily patterns
Animated Atlas: Air Traffic over North
America – 2007
• 75 animations, frame-based, 2003-2006
– Total flights, by airline, by aircraft, by city, by
corridors, by region, by states
– Condensing 24-hours into 30-seconds
– Showed flight patterns
• Pulsating hubs
• Red-eye flights
• Popcorn commuter traffic
LAX
JFK
United Airlines
United Airlines – pulsating hubs
“Popcorn” Commuter Flights
Data
• Atlas based on FAA data
• Flight tracking companies now collect data
- FlightAware,
- FlightRadar24,
- PlaneFinder
- Automatic Dependent
Surveillance-Broadcast
(ADS-B)
- Raspberry Pi, dongle
and filter
$85 total
FlightAware PiAware Sites
Urumqi, China
Air Population
• Comment made to Paul: We should map the
number of people flying above the US.
• Pursued FAA connection
– Needed dedicated hardware (router, server)
– Special Connection (IPsec)
– Installation of specialized data communication
software
• Designed for data security
Solution
• Flight Tracking companies
– All present maps of current traffic
– Read data from their server using JavaScript
• AJAX through proxy server
• Organized by individual tile
– Duplicated their data retrieval methods
– Retrieving lat/long of flights, airline, aircraft, etc.
Evolving Implementation
• Initial implementation was real-time
– flight data was requested on page load
• Later we decided we wanted more than just a
snap shot
– Began storing a day’s worth of data
– required server side database
– Now hourly requests stored (no more on-demand)
• In the future we will use this for daily
animations
Programmatic Methods
• Mapping done with ESRI ArcGIS API for
JavaScript
– API performs spatial queries that allows features
to be intersected based on geographic location
– General Programmatic tasks
• Flight data requested from database (AJAX)
• Planes enhanced with population data
• Planes (JSON objects) are added to map as points
• Planes (and attributes) spatially aggregated to states
Live Demonstration
Map of Planes
Air Population by State
Ratio of Air to Ground Population
Air Population Density
Heatmap
5 AM
7 AM
9 AM
3 PM
11 PM
3 AM Ratio Air to Ground
3 PM Ratio Air to Ground

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Mapping Air Population

  • 1. Mapping Air Population & Mapping Real-Time Flight Data Michael P. Peterson & Paul Hunt & Konrad Weiß Geography / Geology University of Nebraska at Omaha
  • 2. Air Population • Air population refers to the total number of people flying above the earth at any point in time. – a distinct and separate population from those still physically connected to earth • Ephemeral, like urban areas having a “high daytime population” – Air population exhibits similar daily patterns
  • 3. Animated Atlas: Air Traffic over North America – 2007 • 75 animations, frame-based, 2003-2006 – Total flights, by airline, by aircraft, by city, by corridors, by region, by states – Condensing 24-hours into 30-seconds – Showed flight patterns • Pulsating hubs • Red-eye flights • Popcorn commuter traffic
  • 4. LAX
  • 5. JFK
  • 7. United Airlines – pulsating hubs
  • 9. Data • Atlas based on FAA data • Flight tracking companies now collect data - FlightAware, - FlightRadar24, - PlaneFinder - Automatic Dependent Surveillance-Broadcast (ADS-B) - Raspberry Pi, dongle and filter $85 total
  • 11. Air Population • Comment made to Paul: We should map the number of people flying above the US. • Pursued FAA connection – Needed dedicated hardware (router, server) – Special Connection (IPsec) – Installation of specialized data communication software • Designed for data security
  • 12. Solution • Flight Tracking companies – All present maps of current traffic – Read data from their server using JavaScript • AJAX through proxy server • Organized by individual tile – Duplicated their data retrieval methods – Retrieving lat/long of flights, airline, aircraft, etc.
  • 13. Evolving Implementation • Initial implementation was real-time – flight data was requested on page load • Later we decided we wanted more than just a snap shot – Began storing a day’s worth of data – required server side database – Now hourly requests stored (no more on-demand) • In the future we will use this for daily animations
  • 14. Programmatic Methods • Mapping done with ESRI ArcGIS API for JavaScript – API performs spatial queries that allows features to be intersected based on geographic location – General Programmatic tasks • Flight data requested from database (AJAX) • Planes enhanced with population data • Planes (JSON objects) are added to map as points • Planes (and attributes) spatially aggregated to states
  • 18. Ratio of Air to Ground Population
  • 21. 5 AM
  • 22. 7 AM
  • 23. 9 AM
  • 24. 3 PM
  • 25. 11 PM
  • 26. 3 AM Ratio Air to Ground
  • 27. 3 PM Ratio Air to Ground