Mapzen's Tangram mapping platform is a library for creating 2D & 3D maps using WebGL. One of the principal advantages of Tangram is the mightiness to agency 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 terminal 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 sentiment of road, populace transit, aerodrome as well as industrial dissonance throughout the German linguistic communication capital.
If y'all mouse-over whatever business office of the heat-map layer y'all tin terminal sentiment the dissonance levels at that location. The information includes the recorded decibel levels for both twenty-four hours & dark 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 yesteryear the Berlin Senate Administration for Urban Development as well as Environment. The ii information windows, at the superlative correct of the map, render links to the noisiest as well as quietest neighborhoods inwards Berlin, amongst video interviews amongst residents who alive inwards these areas.
The GDELT Project map isn't the most beautiful map I've e'er seen simply it did characteristic inwards the most read post service of the week.
The map shows all the books from the HathiTrust collection. The information from these books is straight off available from the GDELT Project every bit ane of ii form out BigQuery datasets. These datasets are:
Internet Archive Book Collection inwards Google BigQuery (includes fulltext for 1800-1922 books)
HathiTrust Book Collection inwards Google BigQuery
There is manifestly a lot of mapping potential inwards these 3.5 meg books. The GDELT Project map shows the locations of all the locations mentioned inwards the collection from 1800-2011. One obvious blueprint on the map is the increment of North American locations mentioned inwards the books every bit the years pass.
