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.

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.

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, […]

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 […]

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 […]

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 […]