Planetary-scale answers, unlocked.
A Hands-On Guide for Working with Large-Scale Spatial Data. Learn more.
Senior Software Engineer
James is a Senior Geospatial Software Engineer simplifying the experience of gaining insights and deriving value from spatial vector data.
Location Intelligence with Isochrones: A Complete Guide
Ditch intuition: Use data to optimize location decisions. Where you invest has a long-term impact on a location’s overall profitability. The mantra of “location, location, location” is absolutely still alive. But unlike 20 years ago, you now have the ability to let off-the-shelf data and modern geospatial engines like Wherobots tell you where the ideal physical locations are to invest in, across hundreds of thousands of options, using a few lines of SQL.
Introducing GeoStats for WherobotsAI and Apache Sedona
We are excited to introduce GeoStats, a machine learning (ML) and statistical toolbox for WherobotsAI and Apache Sedona users. With GeoStats, you can easily identify critical patterns in geospatial datasets such as hotspots and anomalies, and quickly get critical insights from large scale data. While these algorithms are supported in other packages, we’ve optimized each algorithm to be highly performant for small to planetary scale geospatial workloads. That means, you can get results from these algorithms significantly faster, at a lower cost, and do it all more productively, through a unified development experience purpose-built for geospatial data science and ETL.
Generate Global PMTiles in 26 Minutes: Processing 2.3B Overture Maps Data
Learn why WherobotsDB VTiles is the most scalable and performant solution for generating vector tiles. We will demonstrate this by generating vector tiles from a massive (>2 billion record) worldwide dataset in 26 minutes.
Quickly and Easily Create Vector Tiles with Wherobots and Overture Maps Foundation Data
Editor’s note: The Wherobots Spatial Data Catalog is now the Havasu Catalog. Generating map tiles can be challenging and expensive, especially when dealing with large datasets like those from the Overture Maps Foundation (Overture). It’s challenging and expensive because typical solutions are not scalable or performant, which forces you to build workarounds that waste your […]
Introducing WherobotsAI for planetary inference, and capabilities that modernize spatial intelligence at scale
Editor’s note: Raster inference is now part of RasterFlow, the Wherobots engine for running computer vision models on satellite and aerial imagery. UPDATE: Raster inference is included in Wherobots RasterFlow. See Wherobots Get Started with RasterFlow – Wherobots for the most up-to-date workflows. We are excited to announce a preview of WherobotsAI, our new suite […]
