Moji Weather’s seamless animations with Mapbox GL
Left: using traditional raster images; Right: Using vector tiles with higher resolution. Moji Weather, the creator of China’s largest weather app, visualizes radar data, AQI (Air Quality Index), and other weather conditions with Mapbox GL for its Android and iOS apps. Radar data are among the most difficult to render quickly on native apps — Moji Weather realized this challenge and reached out to
Clustering millions of points on a map with Supercluster
By Vladimir Agafonkin Last year, I explained how we use dynamic shape simplification and partitioning algorithms to render huge polygon and polyline datasets in Mapbox GL JS. This approach unfortunately doesn’t work for individual points: so how do we display hundreds of thousands of points in a meaningful way on a map? Mapbox GL JS recently got a new feature to address this — point clustering. Le
OpenStreetMap in Japan, 2007–2014
By Eric Fischer View more cities View full screen map Ben Fry’s classic map of the United States, “All Streets,” demonstrated that a complete map of streets also implicitly creates a map of the topography around them, because the form of the land determined the locations of the roads. Few places in the world show this effect as strongly as Japan, where intensive urbanization constrasts sharply wit
Vector tiles as a geo-datastore
Vector tiles support the rendering, delivery, and data access requirements of the vast majority of map publishing applications. Vector tiles can encode arbitrary data at world scale, render it on a client quickly, and allow you to only pay for the data created, reducing the need to manage complex tiling and application servers. This is why vector tiles are suitable for hundreds of thousands of cus
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Designing maps for mobile devices