From the Spokane firestorm to all of Washington: real-time wildfire monitoring for under $50 a pass

The moment a satellite pass lands, this pipeline turns it into a burn-severity map in 14 minutes: real-time wildfire monitoring with Python and Spatial SQL that protects lives and assets, shown on the Spokane firestorm and scaled to the entire state of Washington.

Building the Wherobots Mobility Solution Accelerator: A Technical Deep Dive

Three Notebooks, One Medallion Architecture, Full 4D GPS Trajectory Processing: Part 2 of 2

Wherobots MCP Server: Building GEOINT Spatial Pipelines with AI Agents

Editor’s note: The Wherobots Spatial Data Catalog is now the Havasu Catalog. I built three national-security GEOINT use cases on the Wherobots stack in days instead of weeks. A Critical Infrastructure Vulnerability (CIV) pipeline with two regional variants, plus a border-corridor analysis on real transportation segments. The Wherobots geospatial MCP server is what made that […]

Scaling Spatial Analysis: How KNN Solves the Spatial Density Problem for Large-Scale Proximity Analysis

How we processed 44 million geometries across 5 US states by solving the spatial density problem that breaks traditional spatial proximity analysis

Introducing wkls: A Python Library for Instantly Accessing Global Administrative Boundaries

Why Defining Administrative Boundaries in Spatial Data is Hard If you’ve ever worked with spatial data, you probably needed to define a geographic boundary within which to conduct your analysis. Most of the time, these are administrative boundaries such as cities, states, provinces, countries etc. For instance, if you want to scope your analysis to […]

How to Use PMTiles with the Esri JavaScript API (ArcGIS Maps SDK)

Learn how to render serverless PMTiles in Esri maps with this guide. Use Wherobots to create your tiles and apply our complete workaround for the ArcGIS JavaScript API.

Introducing Scalability for GeoPandas in Apache Sedona

Learn about the new GeoPandas API for Apache Sedona, now available in Wherobots. This new API allows GeoPandas developers to seamlessly scale their analysis beyond what a single compute instance can provide, unlocking insights from large-scale datasets. This integration combines the Pythonic GeoPandas API with the distributed processing power of Apache Sedona.