New Maps Of The Week
January 16, 2019
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Mapzen's Tangram mapping platform is a library for creating 2D & 3D maps using WebGL. One of the primary advantages of Tangram is the mightiness to mode all aspects of the map to exercise actually stunning looking private maps.
Patricio Gonzalez Vivo has used Tangram to exercise a beautiful looking map based on the fine art of Ryoji Ikeda. The Ikeda Map is a beautiful dark & white map, illuminated amongst the animated lights of route traffic as well as lights shining from the 3d edifice windows. Patricio used 3 pseudo-random procedural patterns to exercise the animations. You tin larn to a greater extent than virtually how the map was made on the Mapzen blog.
The Berliner Morgenpost's Lärmkarte Berlin provides a heat-map persuasion of road, populace transit, aerodrome as well as industrial dissonance throughout the High German capital.
If you lot mouse-over whatsoever purpose of the heat-map layer you lot tin persuasion the dissonance levels at that location. The information includes the recorded decibel levels for both twenty-four hr stream & nighttime fourth dimension as well as a breakdown of the decibel levels from route as well as transit noise.
The information for the map comes from a dissonance survey undertaken every 5 years past times the Berlin Senate Administration for Urban Development as well as Environment. The 2 information windows, at the altitude correct of the map, render links to the noisiest as well as quietest neighborhoods inward Berlin, amongst video interviews amongst residents who alive inward these areas.
The GDELT Project map isn't the most beautiful map I've always seen simply it did characteristic inward the most read post service of the week.
The map shows all the books from the HathiTrust collection. The information from these books is directly available from the GDELT Project equally i of 2 form BigQuery datasets. These datasets are:
Internet Archive Book Collection inward Google BigQuery (includes fulltext for 1800-1922 books)
HathiTrust Book Collection inward Google BigQuery
There is manifestly a lot of mapping potential inward these 3.5 1000000 books. The GDELT Project map shows the locations of all the locations mentioned inward the collection from 1800-2011. One obvious blueprint on the map is the increment of North American locations mentioned inward the books equally the years pass.