We'll discuss how smart spatial indexes can be used for performant search and filtering for generating interactive and dynamic maps in the browser over massive datasets. We'll go over vector maps, quadtree indices, geographic simplification, density sampling, and real-time ingestion. We'll use example datasets featuring real-time maps of tweets, California condors, and crimes in San Francisco.
The BIDS Data Science Lecture Series is co-hosted by BIDS and the Data, Science, and Inference Seminar.
Erez is co-founder and CEO at Mapsense, which is builds software for the analysis and visualization of massive spatial datasets. Previously Erez was an engineer at Palantir Technologies, where he worked with credit derivatives and mortgage portfolio datasets. Erez holds a BS/MS from UC Berkeley's Industrial Engineer and Operations Research Department. He was a PhD candidate in the same department at Columbia University.