Mapping Party with Mapbox
Maps has become a crucial part of our applications today, be it weather forecasting, epidemiology, mining, urban planning or studying killing patterns of criminals. But how did we start working with maps? How did we combine data analysis with Maps? What are it's potential? We will have a glimpse at past, present and future of maps.
With the up-rise of open-source technologies, Google Maps is not the only option now. Mapbox is a developer focused mapping platform. It powers thousands of applications and websites, with customizable and scalable maps, analysis and data. It enables any developer to become a cartographer instantaneously. Consider Mapbox as wikipedia for maps. We will look into into how maps and Mapbox works, what is Open Street Map (an open-source database to store geolocation data), Mapbox APIs, Mapbox Studio (a tool to create your personalized styled maps) and some supporting libraries like TurfJS (Spatial Analysis) and Directions API.
Outline/structure of the Session
- What is Mapbox?
- Why do we need to work with maps?
- Open Street Map / OSM
- Build maps in OSM
- How Mapbox works?
- Extracting Data
- Mapbox JS API
- Turf JS API
- Some more examples from Mapbox applications
I want to show people how to think about maps and how to work around it. I want to demo how easy it is get started. I hope that people get interested into maps after this session and inspire them to build their own projects.
Beginners and professionals who are interested in working with maps. Developers who have fundamental knowledge of HTML, CSS and JS
schedule Submitted 2 years ago
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