... | ... | @@ -85,7 +85,7 @@ From data analysts / traffic planners point fo view: |
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An example of a map to search for docking stations can be found at https://tfl.gov.uk/modes/cycling/santander-cycles. The implementation uses GoogleMaps API. The map visualizes each docking station as a bike symbol surrounded with a red circle.
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![DockingStation-1](/uploads/d9319e8bcc7fdb024fd87af1813dc502/DockingStation-1.png)
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![image](uploads/fd8a56e323aee5f453c9db1bf7cf0a58/image.png)
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If the user searches for a specific station by name, the map is zoomed to that station, and the circle shows the number of bikes available at the docking station. If the user clicks on the symbol, the free and empty docks are displayed in an "array" style (simplified bar chart, value 0 or 1 per dock).
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... | ... | @@ -93,7 +93,7 @@ If the user searches for a specific station by name, the map is zoomed to that s |
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In this project, we will focus on the journey data visualization to get a better insight of the use of the bike sharing system. As a visualization platform, the 3D globe Cesium will be used. Cesium has a very good support on time dependend data visualization which helps a lot. And inaddition, it allows to explore the possibilies of combining the routing data and a 3D city model later on.
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[Part 2: Cesium Fundamentals](./cesium-fundamentals)
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![image](uploads/b46acd3b076f74a2ab5ac495c5510468/image.png)
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## References and Inspiration
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