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MDB 2008 11 11
PDF 2009 05 11
PDF 2009 05 22
     
     
00902 26 Airflow: Above Tallinn  
 
 
  Flights above Tallinn sometimes early February  
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00901 04 Epidemic: Potential Spread  
 
 
  Maximum possible distance from Tallinn in 20 h. Using all possible flight or slow ground transportation.  
  Networks are parallel and so is physical world. Epidemic are going to spread almost simultaneously around the world.  
     
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00812 22 Airworld: Taged EU  
 
 
  Airline IATA code and flight number (code share flights are not presented)  
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00812 19 Airworld: "Cross" Section  
 
 
  Aircrafts in the air at 2008-11-19 00:11 UTC  
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00812 09 Airworld: Aircrafts  
 
 
  Aircrafts in the air at 2008-11-19 02:20 UTC  
  This time I have played with aircraft database to show the overall dynamics of world airflow. Every flight starts as a blue dot and slowly changes into red until it reaches its destination. Hopefully, this increases readability of the aircrafts path. Underneath there are two versions of the same process. They are identical except of one little detail: One is white and the other negative, so it is dark.  
     
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00812 08 Airworld: Connections  
 
 
  Connected Airports 2008-11-16 15:30 UTC  
  The visualization is based on the FlightStats.com dataset that is almost freely available on their website. The only thing one has to do is to apply for one evaluation period, which is 30 days or 7500 requests. This is enough time and data quantity for building up your own dataset. Take your time, because any information that is older than a day is somewhere else and it is taking its “time” to download. In my case, asking every single airline one by one took the program around 24h. There are around 1000 airlines and 9000 airports and requesting every airport wouldn’t give you a too good dataset. Because theoretically, you would get double the flights and it would be a pain to sort out all the overlapping ones. If you use the airlines you get very good information about the airports at the same time. Be aware that some data is not in a very good condition. For example, the flight length is shown as -30 min. But it seems that the overall quality is good, as much as I found out by comparing the data of some of my home airports. The coverage for Europe and North America is very good. They talk about 97 to 98% coverage. Everything else is not that good. How good is hard to say. It seems that OAG (www.oag.com) is providing a more precise dataset, but since it is not free I will look into that a little bit later. Above I printed out a snapshot of the connection animations. Hopefully, soon I will add animations in full length and beauty underneath for downloading for anyone who is interested.  
     
00711 30 Globe: Earth at night  
 
 
  NASA "Earth's city Lighst"  
  A quote from one of the very first pages in the book “Massive Change” by Bruce Mau: "If each member of our current global population (6,376,394,000 and growing) lived in her own Levittown house (70 sq. m.), then we would use approximately 440,085.5 sq. km of land for housing. Surprisingly, this is only 0.35% of all Earth's 126,909,000 sq. km. of habitable land. Factoring in the average density of urban "sprawl" - three homes per residential acre - we would still inhabit only 6.8% of all the Earth's habitable land. (Add to this the massive space needed to accommodate highways, farmlands, city centers, and all other infrastructure required to support our global population)". If 6.8% (8,629,812 sq. km. what would be equivalent to the area of Canada) is for living, then most of that glow is actually serving mobility. That means that most of that glow stands for the intention of getting together. This glow is not static, it is not light pollution, it is dynamic landscape that indicates movement, communication. Streetlights are not for persons who are staying at home. You don’t need outdoor light for staying inside. You need light to move and move on.  
     
00711 22 Globe: LANDSAT 7  
 
 
  Landsat 7 raw data  
  Landsat 7 is the latest satellite of the Landsat program, whose aim is the collection of imagery to build a cloud free world map. Landsat 7 imagery is used in the NASA Blue Marble project, Google Earth and NASA World Wind.  
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  I would like to bring out the aspect of continuity. An individual picture has no value. But almost every picture seen in the context of others has a value, and only in the context of others. So far, 2 million and counting images are collected and analyzed to bring out the worlds surface as it is so familiar to us from previously mentioned applications. Meaning comes with context, not with singularity and at the same time, there you don’t have to hold a view of the world to build understanding.  
     
00710 10 Airworld: Airports  
 
 
  IATA registered airports. Total number 9262. Source: www.flightstats.com  
  Image above represents most of the airports that have IATA codifications. Because the dataset on FlightStats.com is of past flights, I can’t be sure it represents all the airports, regardless of that it draws a quite good coastline of the world.  
     
REF Credits  
 
  Andres Alver : mentor (Estonia Academy of Arts)  
  Indrek Rünkla : mentor (Estonia Academy of Arts)  
     
REF Books  
 
  Aviapolis : A Book About Airports by G. Fuller and R. Harley Social, cultural background. Brief
  Metropolita World Atlas by A. van Susteren Atlas, Overview
  Life in the Air by M. Gottdiener Social aspects of Aviation
  Open Sky by Paul Virilio General cultureal background
  Airport Planning and Management by Wells, Young Technical overview. US specific
  Fear by J. Bourke Cultural background for Fear
  Airspace by David Pascoe Avaiation Cultural background
  Biohazard by K. Alibek Autobiography view for Biohazard
  Massive Change by B. Mau Global perspective
  Naked Airports by A. Gordon Avaiation Cultural background