Wherobots

What is Wherobots? It's a question we get asked sometimes, so we wanted to make it super easy to understand. That's why we created this handy explainer video. Check it out here ??

How is cloud-native geospatial reshaping the way organizations interact with spatial data? ???? It prioritizes flexibility, changes how data consumers connect, removes friction, and unlocks new possibilities. Join us, alongside Amy Rose from the Overture Maps Foundation and Eshwaran Venkat ? from Dotlas, as we discuss: ? How modern approaches enable scalability across various compute infrastructures ? Eliminating the need to move massive datasets ? The ability for users to work with data wherever they are—whether locally or in the cloud ? The future direction of geospatial technology ?? This is a conversation you definitely don’t want to miss! Register here: https://bit.ly/3XRdCBn

Don't let messy GPS slow you down. ? Noisy signals, lost connections, and inaccuracies make it hard to extract valuable insights. Imagine using your GPS to get to your location, only to find it telling you to drive over water instead of the road. ??? Wherobots’ map matching corrects trajectories by aligning them with real-world road networks, all while delivering unmatched accuracy and performance (and saving money!). ?? Why GPS data is often inaccurate ?? How map matching fixes GPS errors ?? How Wherobots processed 90M trips in just 1.5 hours ?? Real-world applications: logistics, insurance, urban planning & more Transform your data with high-performance map matching. Watch now ?? https://lnkd.in/gQqcAV9z

We understand that working with large-scale spatial data can be challenging, which is why we partnered with O'Reilly to publish this guide to help you navigate the complexities of geospatial data. Whether it's running Apache Sedona locally or on the cloud, using spatial SQL in data pipelines and spatial ETL processes, or applying ML techniques to your spatial dataset, we've got you covered! ?? ?? The latest chapter has just been released, focused on vector data analysis with spatial SQL. Check it out here and be sure to explore the previous chapters as well: https://bit.ly/4gkm4AU If you've already downloaded the previous chapters, don't forget to check your email for the latest one! ??

It's time for the World Agri-Tech Summit! Find us at booth #17 in the Startup Arena or connect with the team (Ben Pruden, Chris McCormick, Sean Knight, Daniel Smith) through the conference app. We’d love to hear about the challenges you're facing in the agricultural landscape and share how GeoAI can help enhance the productivity of precision farming practices. ???? Don’t forget to grab some free SWAG—we have some pretty cool t-shirts! ?? TOMORROW 3/12: Come join us for happy hour after the conference! More details here: https://lnkd.in/gAymiHFk

We're back with another session featuring Spatial Joins! ???? Gain practical skills and learn best practices for processing and visualizing spatial data at scale with Matt Forrest. Topics include: ?? Join datasets using spatial predicates to ensure only relevant spatial relationships are processed ?? Efficiently find the k-nearest neighbors to ensure the query is highly optimized without the overhead of expensive cross joins ?? Apply spatial filters to extract a targeted subset of your data ?? Visualize spatial results interactively using SedonaKepler and SedonaPyDeck, turning complex geospatial data into actionable insights with interactive maps ?? Sign up here: https://bit.ly/3QYGhR8

See you at World Agri-Tech Summit next week! ??????

If you're heading to the World Agri-Tech Summit next week, join us for a nearby happy hour after the conference! Space is limited, so please RSVP to reserve your spot and get more details. ?? P.S. You'll get to enjoy some nice views of San Francisco ?? https://lnkd.in/gAymiHFk

Welcome Jeff Pettiross to Wherobots as our Principal Product Designer! ?? Jeff brings three decades of design experience and leadership to Wherobots. Previously, he scaled Tableau’s Product Design team from one person to a global team of 40, while the company grew to $1B in revenue and went public. Beyond the chance to empower both coders and business leaders, he’s personally excited to come full circle to geospatial data. “My childhood bedroom wallpaper was maps pulled from National Geographic. I love that I’m now helping more people find their own stories in maps!” Come join Jeff on our remote-first team based out of Seattle and San Francisco; we’re hiring for product, engineering, and sales roles!

Which neighborhood in San Francisco has the most coffee shops? ? Dive into the Foursquare Open Places dataset, a free and open dataset providing 100MM+ global places of interest, with our latest tutorial on Wherobots! Learn how to: ?? Query using Spatial SQL and subset the data for a specific region using predicate push down? ?? Search for specific business or places in the data, and aggregate locations by geography ??? Create a map using Sedona Kepler? ...and more! ? By the end of this, we will have created a choropleth map showing number of coffee shops in San Francisco sorted by neighborhood. How is Foursquare Places data different from from other POI datasets? The answer is FourSquare Placemaker Tools, which is a set of web based tools where community members and indvididuals can go in and add new venues, update existing information, and validate place data. ?? Follow along here: https://lnkd.in/gSDzbF4Y