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Just for fun, I downloaded and started playing with Azureus (a Java-based bittorrent client). It has some pretty nifty data visualization tools built-in; here are some screenshots for my future reference.
Visualization of Flickr geotagged photos, uploaded between 2007 to 2015 and geotagged with the highest accuracy (street-level). I generated a number of different visualizations. Some are more artistic in style while others are designed more informative.
This type of visualization has been done years before (check out Eric Fischer's maps). Maybe the statistics going on on the lower-right corner provide some additional information not available so far.
Here is an animated version of this map
Created as part of my research project (maps.alexanderdunkel.com).
Imagine you have achieved everything you want to achieve? You have finished school. There is no more study. You are living the life of your dreams. How good does it feel? Well guess what? The first step to achieving your dream life is to get your homework done. That’s a fact. So visualize your success and then do what it takes to make it happen.
Visualization of the editing activity in the Wikipedia article on Abortion. To learn more about this project, check out www.research.ibm.com/visual/projects/history_flow/
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Part II of time in Kauai, this time with the 'blad and Ektar. Used CinefilmC41 kit here on the garden isle, and combo gave a nice palette to work with. Thanks to the flickeranians who keep showing their images and motivating the rest of us.
A pointmap test-render from Flickr geotagged photos for Germany (only the highest geoaccuracy was used = 16/Streetlevel). The transparency of each pixel was calculated using the number of photos for the pixel's area: transparency gradually decreases from 0 to 255 photos (RGB-Range), black pixel symbolize areas with > 255 photos.
Interestingly: the Elbe river (with a famous bike track along the river through Germany) in the upper-right part, or the Rhein river bike track (left part). The coastline and alp region are densely photographed as well.
Also, check out the numbers: 87,892 photographers means 0.1 % of the total population of Germany!
First sketch of the uberinfographic. Using the basic classification and using many of the actual visualizations.
Juliana Chan, Professor of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong SAR capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary
red areas are higher wait times; circle diameter is wait time (logarithmic)... rushing to get this done...
Geocoding and visualizing dad's flight log data. GeoTIff and kml reprojection done with TileMill. More info and how-to here: raph.ae/2014/04/how-to-geocode-and-visualize-flight-paths...
Original image by Marc Imhoff of NASA GSFC and Christopher Elvidge of NOAA NGDC, Craig Mayhew and Robert Simmon, NASA GSFC. visibleearth.nasa.gov/view.php?id=55167
Jeffrey M. Drazen, Editor-in-Chief, New England Journal of Medicine, USA capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary
Horizontal axis: distance. Ticks at 40 meters. Vertical axis: time. Ticks at 1 minute. I'm not sure which trip this is - I rummaged around the database until I found a route that clumped like this. It happens in about 1 out of 10 recorded trips. You can see at several points along the trip there are what appear to be traffic signals that change at the same time every day, on about a 1 minute period.