Spatial analysis: From detecting patterns to making decisions with reproducible workflows

Spatial analysis, supported by tools like geographic information systems (GIS) and remote sensing, transforms raw location-based data into valuable visual insights that guide public policy and business decisions. By employing techniques such as proximity analysis, overlay analysis, hotspot analysis, network analysis, and surface analysis, spatial analysts reveal patterns and relationships in geographic data across various industries. The process involves a repeatable workflow of data preparation, analysis, and evaluation, ensuring accuracy and reliability. Platforms like Felt AI simplify this process by providing an intuitive interface for both GIS experts and non-experts, enabling collaborative and reproducible workflows that enhance decision-making. These tools allow users to automate complex geospatial tasks, visualize data layers, and share insights in real-time, ultimately turning spatial data into actionable information.

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