Announcing Felt 2.0 â a better way to work with maps
Blog post from Felt
Felt 2.0 introduces a range of innovative spatial analysis features that simplify data processing and enhance mapping capabilities for users across various industries. The update includes a redesigned interface aimed at streamlining workflows, alongside cutting-edge tools like Bounds, Buffer, and Live Previews that allow users to visualize and analyze spatial data with ease and precision. The platform supports a wide array of file formats, including vector and raster data, and employs an open-source tiling engine, Tippecanoe, coupled with machine learning to optimize data performance. Additionally, Felt's in-house rendering engine, based on MapLibre, facilitates the creation of high-quality visualizations with various styles such as choropleths and heat maps, making complex geospatial analysis more accessible and efficient.
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