A voronoi map of the world based on weather stations.

Colors represents the density of weather stations in an area

We use a Lambert Azimuthal Equal-Area projection so it represents accurately the areas. Weather station data comes from World Clim (2015 data). The 10k+ points dataset was clusterized using supercluster. We use the d3 Geo Voronoito create the vornoi geo clusters of areas based on the dataset.

Weather Stations Dataset

WorldClim: Global weather stations

Robert J. Hijmans, Susan Cameron, and Juan Parra, at the Museum of Vertebrate Zoology, University of California, Berkeley, in collaboration with Peter Jones and Andrew Jarvis (CIAT), and with Karen Richardson (Rainforest CRC).

Published on Databasin

See the original visualisation.