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.
A list of the datasets used in this visualization.
- WorldClim (size: Mo, format: open)