Ground Truth Physical AI news and engineering for real-world data Product news, research, and build notes from Wherobots, the Context Engine for Physical World Data. Wherobots Cloud News WherobotsDB Apache Sedona Spatial Lakehouse Computer Vision RasterFlow Physical AI Engineering Havasu Catalog Use Cases Stories Earth Observation Tutorial Most Dangerous Roads for Pedestrians and Cyclists in the US (Part 2) Most Dangerous Highway in the US Utility Vegetation Management at Scale with Earth Intelligence Putting the HERE Technologies and Wherobots partnership to work Yulin Naval Base in Satellite Imagery Wherobots for QGIS Sort By Most Recent Most Recent Oldest Categories Apache Sedona View All Use Cases Knowledge Graph Engineering Earth Observation Tutorial Havasu Catalog Wherobots Cloud Computer Vision Spatial Lakehouse RasterFlow Stories WherobotsDB Physical AI News General Apache Sedona Sort By Most Recent Oldest Categories View All Use Cases Knowledge Graph Engineering Earth Observation Tutorial Havasu Catalog Wherobots Cloud Computer Vision Spatial Lakehouse RasterFlow Stories WherobotsDB Physical AI News General Apache Sedona 8 Mins Read 8 Oct 2024 Introducing GeoStats for Wherobots and Apache Sedona We are excited to introduce GeoStats, a machine learning (ML) and statistical toolbox for Wherobots 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. 6 Mins Read 2 Oct 2024 What is Apache Sedona? Apache Sedona is a cluster computing system for processing large-scale spatial data. It treats spatial data as a first class citizen by extending the functionality of distributed compute frameworks like Apache Spark, Apache Flink, and Snowflake. Apache Sedona was created at Arizona State University under the name Geospark, in the paper “Spatial Data Management in Apache Spark: The GeoSpark Perspective and Beyond. 6 Mins Read 6 Jun 2024 New Wherobots Cloud Features, How Overture Maps Uses Apache Sedona, Aircraft Data, & Spatial Lakehouses Welcome to This Month In Wherobots the monthly developer newsletter for the Wherobots & Apache Sedona community! In this edition we have a look at the latest Wherobots Cloud release, how the Overture Maps Foundation uses Apache Sedona to generate their data releases, processing a billion aircraft observations, building spatial data lakehouses with Iceberg Havasu, […] 15 Mins Read 16 May 2024 Processing A Billion Aircraft Observations And Combining With Weather Data Using Apache Sedona On Wherobots Cloud In this post we take a look at combining aircraft flight data with weather data to identify potentially impacted flights using public ADS-B data and weather data from NOAA. Along the way we introduce the types of spatial queries available with WherobotsDB including spatial range queries, spatial kNN, and spatial joins using Spatial SQL, geospatial […] 8 Mins Read 16 Apr 2024 Making Overture Maps Data More Efficient With GeoParquet And Apache Sedona The latest release of Overture Maps data is now published in GeoParquet format, allowing for more efficient spatial operations when selecting subsets of the dataset and enabling interoperability with a growing ecosystem of data tooling that supports the cloud-native GeoParquet format. In this post we explore some of the motivations and advantages of publishing the […] 6 Mins Read 13 Mar 2024 Raster Data Analysis, Processing Petabytes of Agronomic Data, Overview of Sedona 1.5, and Unlocking The Spatial Frontier – This Month In Wherobots Welcome to This Month In Wherobots, the monthly newsletter for data practitioners in the Apache Sedona and Wherobots community. This month we’re exploring raster data analysis with Spatial SQL, processing petabytes of agronomic data with Apache Sedona, a deep dive on new features added in the 1.5 release series, and an overview of working with […] « Previous 1 2 3 4 5 Next » Sign up for our newsletter Be the first to know about releases and industry news. We care about your data; read our privacy policy. SUBSCRIBEΔ