Geospatial Intelligence

Geospatial Intelligence Platform

Reference architecture for processing, indexing, visualizing, and analyzing nationwide geospatial datasets for operational intelligence.

Problem

Operational teams accumulate large volumes of location data — assets, infrastructure, sensors, events — but cannot turn it into map-based intelligence or repeatable spatial analysis.

Technical Challenge

The platform had to scale from exploratory analysis to operational workflows, sustain fast map interaction, support reusable spatial analytics, and integrate with downstream dashboards and APIs.

Solution Architecture

Spatial ingestion and normalization pipelines for heterogeneous sources

PostGIS-backed analytical data model with H3 indexing for scalable aggregation

Map-based exploration UIs and dashboard surfaces

Reusable spatial analytics for clustering, coverage, density, and infrastructure context

Spatial query and enrichment APIs for downstream systems

Impact

Converted raw spatial datasets into operationally useful map layers

Improved query and aggregation patterns for large-area analysis

Created a reusable platform pattern for geospatial decision support

Tools Used

PythonPostGISH3MapboxOpenStreetMapPostgreSQLCloud StorageAPIs

Relevant Capabilities

Geospatial Intelligence & GISData EngineeringOperational Intelligence

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