Location is built into the fabric of our daily experiences. Whether you’re exploring a city with Lonely Planet, checking the forecast on Weather.com, tracking breaking news on Bloomberg, or checking your ETA in Lyft — location is essential to every one of these applications, and they’re powered by Mapbox.
Mapbox offers fanatastic solutions for web mapping and spatial data visualization. We’ve partnered with them to create a host of demos that demonstrate two powerful solution spaces:
- Scalable web mapping with GeoJSON data in Cloudant
- Map-based spatial data visualization with Python, Spark, Jupyter and IBM Data Science Experience
Mapbox crafts beautiful maps and developer-friendly location data, APIs, and SDKs so that you’re free to focus on designing, building, and developing your application. Their open-source tools make it easy to analyze big geo data with IBM’s analytics tools.
Projects
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Analyzing Data with IBM Cloud SQL Query
Medium | NotebookEasily make SQL queries on your object storage data.
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Building an API Cache with Redis and Node
GitHub | MediumHow to optimize API usage in a college search example application.
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Mapping for Data Science with PixieDust and Mapbox
Notebook | MediumAdd another layer to your Jupyter notebooks with built-in map rendering.
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Navigating SXSW via Cognitive Chatbot
GitHub | MediumA smarter conference event recommendation system using Watson services and Mapbox.