Simplicity meets power: Felt’s H3 spatial index support has arrived

Modern GIS teams face challenges in efficiently managing vast amounts of spatial data, which often doesn't align with administrative boundaries and requires effective indexing. H3, a hierarchical geospatial indexing system, addresses these issues by dividing the Earth's surface into hexagonal cells, facilitating efficient data storage, retrieval, and analysis across varying scales. Felt now offers enterprise users the capability to create H3 visualizations effortlessly, automating the process without the need for SQL or Python. This innovation allows users to perform on-the-fly H3 binning, auto-resolution scaling, and obtain instant summary statistics, integrating seamlessly with data from sources like Postgres, Databricks, Big Query, or Snowflake. This tool enables teams to overlay H3 hexagons on existing data, build applications, and dashboards, and provide real-time feedback, thus enhancing the speed and effectiveness of spatial data analysis for diverse applications such as business expansion and weather pattern analysis.