GEO-INFER — a 44-module geospatial inference monorepo from the Active Inference Institute. Spatial analysis, active inference, domain modeling, agent workflows, and reproducible repository validation in one uv/Python workspace (H3, Bayesian models, place & risk).
IoT sensor data ingestion and real-time streaming for geospatial monitoring. Use when connecting to MQTT brokers, processing sensor streams, validating spatial sensor data quality, or building real-time geospatial monitoring pipelines.
Logistics optimization including route planning, fleet management, delivery scheduling, and supply chain modeling. Use when optimizing delivery routes, managing fleets, analyzing supply chain resilience, or computing emissions from transportation.
Marine and ocean analysis for coastal and offshore environments. Use when analyzing ocean currents, marine ecosystems, coastal erosion, sea-level rise, marine protected area planning, or fisheries management.
Spatial statistics, topology, and graph theory for geospatial analysis. Use when computing Moran's I, spatial autocorrelation, geodesic distances, graph connectivity, kernel density estimation, or any mathematical operation on geographic data.
Meta-governance frameworks for geospatial decision-making. Use when implementing polycentric governance, multi-level institutional analysis, stakeholder engagement, conflict resolution, or adaptive governance scenarios for spatial resource management.
Operations, monitoring, and observability for geospatial infrastructure. Use when setting up monitoring dashboards, configuring alerts, tracking system health, or managing deployment of spatial services.
Organizational modeling for geospatial entities. Use when modeling organizational structures, governance voting and consensus, team formation from skill pools, or collaboration network analysis for spatial governance.
People, Engagement, Performance operations for GEO-INFER. Use when building HR/CRM/Talent data pipelines (CSV import, cleaning, enrichment, reports, plots), the PEPEngine workflow orchestration, or the FastAPI PEP service.
Place-based analysis with H3 hexagonal indexing. Use when running location-specific analyses (forest health, coastal resilience, fire risk, seismic hazard) for Del Norte County or Cascadia, using the PlaceInterface unified API, H3 v4 operations, or California data clients (NOAA, USGS, CAL FIRE, CDEC).
Requirements engineering and traceability for geospatial projects. Use when managing project requirements, building traceability matrices, analyzing dependency graphs and critical paths, or validating requirement consistency, conflicts, and feasibility.
Geospatial risk modeling including catastrophe models and exposure analysis. Use when assessing spatial risk, building catastrophe models, analyzing exposure/hazard/vulnerability, or computing portfolio risk metrics.
Security and threat detection for geospatial systems. Use when implementing spatial access control, authentication and TOTP-based MFA, geospatial data anonymization, security auditing, or encrypting spatial data.
Agent-based and multi-paradigm simulation for geospatial workflows. Use when building agent-based models, cellular automata, or system-dynamics simulations, or running and comparing spatial planning scenarios.
H3 hexagonal spatial indexing and multi-backend spatial operations. Use when working with H3 cells, spatial indexing, coordinate systems, raster/vector operations, or any spatial backend dispatch (H3, SRAI).
Statistical Parametric Mapping for geospatial data. Use when performing GLM-based spatial analysis, random field theory corrections, cluster-level inference, or neuroimaging-style statistical mapping on geographic datasets.
Unified test runner and testing infrastructure for the GEO-INFER ecosystem. Use when running cross-module tests, configuring test categories, setting up test fixtures for spatial data, or analyzing test results.
Time series analysis and temporal modeling for geospatial data. Use when analyzing temporal patterns, forecasting spatial time series, detecting change points, or working with spatio-temporal datasets.
Transportation network analysis and traffic modeling. Use when analyzing road networks, simulating traffic (BPR model), forecasting traffic (EWMA), routing on networks, or analyzing transit coverage and accessibility.
Water resource management and hydrological modeling. Use when analyzing watersheds (D8 delineation, flow accumulation), water quality (WQI, pollution tracking, regulatory compliance), rainfall-runoff, water balance, flood/drought screening, or water supply allocation.
Geospatial Active Inference framework with 45 modules for ecological, civic, and commercial spatial analysis. Use when working with geospatial data, Active Inference, Bayesian modeling, H3 hexagonal indexing, spatial statistics, or any domain-specific geographic analysis (agriculture, health, economics, risk, climate…
Underwriting, policy, claims, and pricing operations for geospatial insurance workflows in the GEO-INFER framework. Use for underwriting decisions, premium calculation, claims lifecycle, policy management, portfolio analysis, and regulatory compliance checks.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: