Lonboard: Fast, Interactive Geospatial Visualization in Jupyter & JavaScript - Kyle Barron - nyhackr

Talk Title- Lonboard: Fast, Interactive Geospatial Vector Data Visualization in Jupyter and JavaScript

Talk Description- Lonboard is a new Python library for geospatial vector data visualization that can be 50x faster than existing alternatives like ipyleaflet or pydeck. Under the hood are separate APIs for fast geospatial visualization from JavaScript. This talk will explain why this library is so fast, how it integrates into existing workflows, and planned future improvements.

Bio- Kyle Barron is a software engineer at Development Seed where he builds open source tools and infrastructure that process and visualize geospatial data. He has expertise in cloud-native geospatial vector data formats, speeding up Python and JavaScript applications from Rust, spatial indexes, and efficient data pipelines. Kyle holds a B.A. in Economics, minoring in Mathematics from the University of California, Los Angeles which he earned in 2017.

Kyle previously worked as a software engineer at Unfolded and then Foursquare, building browser-based geospatial data visualizations on the web for vector and raster data.