Give your entire team GIS superpowers with Felt 3.0. 🚀 Learn more here: felt.com/blog/gis-datab… #gis #data

Our H3 tiles render instantly and it’s all thanks to Tippecanoe – Felt's open-source geodata pre-processing tool that optimizes visual appearance across data densities and zoom levels to deliver fast web map tiles. Tippecanoe dynamically assigns points to H3 bins as tiles are

Show us your EOY toolbar, QGISers! If it doesn't have Felt's plugin, you've been missing out! We want QGIS users to have best-in-class tools at their fingertips, and that's why we built the lightning fast plugin with our friends at North Road to instantly visualize your #QGIS

Traveling for the holidays? Don't leave town without optimizing your route for proximity to Taco Bell with this deeply technical analysis from our own super fan and cartographer Mamata Akella 🌮 🌯 Message us and we will send you the link :)

We all need help focusing sometimes. Set map constraints in just a few clicks so your viewers stay on task.

Do your New Year's resolutions include trying out our new JavaScript SDK? Here are five fun ideas to get the juices flowing before January: - Take a map and remove the UI, then build a branded experience - Finally integrate a map into that dashboard you've been building - Filter

Is your team blocked when it comes to accessing spatial insights? It takes minutes to configure a Felt dashboard, and even less time for teams to intuively find the insights they need. Now everyone can run powerful queries and get stats at -a-glance.

Have you tried Felt's Extract tool yet? Extract let's you build any boundary polygon (buildings, neighborhoods, counties – event states!) directly from the basemap – no external datasets needed. Pro tip: hold down the Shift key to select multiple polygons simultaneously!

Learn how to publish @QGIS maps to the web with the ‘Add to Felt’ plugin. youtu.be/-mUdqQ4FX6E Styled rasters and vectors import seamlessly! 🗺️ #GIS #GISchat

🐍 Our Python SDK is tailored for effortless interaction with Felt's API. With familiar syntax and conventions, developers can now harness Felt's power while saving time and reducing effort. Explore the library here: github.com/felt/felt-pyth… #data #map #gis #python #api

Exploratory spatial data analysis tools are essential for visualizing and analyzing spatial data, helping uncover valuable insights. For instance, our table view feature enables users to thoroughly examine a dataset, sort attributes, and choose features to display on the map. 🗺️

Tired of rigid admin boundaries? Use H3 for a more precise spatial analysis! Visualize your data in H3 bins in a few simple steps: • Upload to Felt • Select H3 • Done! See it in action ⤵️ #SpatialAnalysis #DataVisualization #GIS

The best collaborative GIS tool just got even better. 🚀 Data-associated comments are live in Felt! You can now comment directly on vector and raster features, move your comments around by dragging, open features from comments, and create comments from clicked features. #gis

We're thrilled to introduce SQL queries in Felt, putting the full power of your database directly at your fingertips. ✌️ For years, teams have trusted Felt to build maps, apps, and dashboards that bring spatial insights to life. Now, we're taking that capability to the next

This isn't just another feature update – it's a fundamental shift in how teams can work with spatial data. Felt SQL queries work across all your cloud sources including PostGIS, Snowflake, Databricks, Redshift, BigQuery and Microsoft SQL Server. No more context switching, no