The Case for Learned Spatial Indexes

Understand

Spatial data is ubiquitous.

• Massive amounts of data are generated every day from billions of GPS-enabled devices such as cell phones, cars, sensors, and various consumer-based applications such as Uber, Tinder, location-tagged posts in Facebook, Twitter, Instagram, etc.
• This exponential growth in spatial data has led the research community to focus on building systems and applications that can process spatial data efficiently.
• In the meantime, recent research has introduced learned index structures.