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.
“Internet of things” is the concept of basically connecting any device with an on and off switch to the Internet.
I would like to share my approach, resources etc I learned from and show things that are possible.