Canonical GEO-INFER Active Inference implementation. Use when implementing or reviewing free-energy minimization, belief updating, generative models, policy selection, H3/spatial active inference, or typed ACT diagnostics.
Precision agriculture and soil health modeling. Use when analyzing soil health, crop water usage (FAO-56), carbon sequestration (IPCC Tier 1), precision farming, or agricultural land management.
Multi-agent geospatial systems with Active Inference, BDI, and reinforcement learning. Use when building autonomous agents, implementing perception-action loops, coordinating multi-agent systems, or wiring agent telemetry and messaging.
Machine learning pipelines and model selection for geospatial AI. Use when training spatial ML models, building prediction pipelines, performing feature engineering on geographic data, spatial interpolation/kriging, or evaluating spatial model performance.
Ant Colony Optimization and swarm intelligence for geospatial problems. Use when solving spatial optimization with ACO, PSO, ABC algorithms, implementing stigmergic coordination, or optimizing geographic routing and resource allocation with bio-inspired methods.
REST API endpoints for geospatial services. Use when building API routes, defining spatial query endpoints, or exposing GEO-INFER functionality as web services.
Agent UI and management layer for GEO-INFER. Use when building agent control widgets, agent configuration forms, geospatial agent visualization (GeoJSON map features), or managing in-process agent lifecycles (create/start/stop/command) via AgentManager.
Generative geospatial art and cartographic visualization. Use when creating artistic map visualizations, procedural spatial art, animation sequences, color palettes, style transfer, or aesthetically-focused geographic rendering.
Bayesian inference and probabilistic modeling for geospatial data. Use when building hierarchical models, computing posteriors with PyMC or TFP, performing variational inference, model comparison (LOO/WAIC/DIC), or spatial Gaussian processes.
Biological sequence analysis and spatially-referenced bio data processing. Use when analyzing DNA sequences (GC content, motifs, coding regions, alignments), validating biological/spatial data, visualizing sequence metrics, or loading climate (WorldClim), soil (SoilGrids), and microbiome (EMP) datasets with…
Civic engagement analytics and policy appraisal. Use when analyzing meeting attendance, public comments, voter turnout, participation indices, demographic representation, or cost-benefit / stakeholder / equity analysis of policy proposals.
Human-centered geospatial cognitive modeling — spatial perception and attention, qualitative spatial reasoning, spatial memory, spatial language processing, cognitive maps, and human-centered decision support. Use when modeling how users perceive, reason about, remember, or decide about geographic space, or when…
Communication systems for geospatial coordination. Use when implementing spatial messaging, multi-channel notifications, event streaming, spatial message routing, or subscriber management for geographic broadcasts.
Data connectors, ETL pipelines, and data management for geospatial datasets. Use when loading spatial data from databases, APIs, files (GeoJSON, Shapefile, GeoParquet), or building data transformation pipelines.
Emergency management and disaster response. Use when planning search and rescue, optimizing emergency resource deployment, coordinating evacuation routes, building a common operating picture, or managing multi-agency response logistics.
Energy systems analysis and renewable energy siting. Use when assessing solar/wind/hydro potential, computing capacity factors and LCOE, siting renewable sites, forecasting energy demand, planning grid and storage needs, or analyzing carbon emissions of energy systems.
Working examples and module orchestration patterns. Use when looking for usage examples, cross-module orchestration patterns, end-to-end workflows, or reference implementations of GEO-INFER capabilities.
Git repository cloning, management, and REST API tooling for geospatial projects. Use when cloning many GitHub repositories (by user or by list), managing local git worktrees, analyzing repositories, or running the GEO-INFER-GIT FastAPI service.
Spatial epidemiology and public health analysis. Use when modeling disease spread, analyzing health disparities, performing spatial health risk assessment, building epidemiological surveillance systems, or assessing healthcare accessibility.
Central documentation hub and cross-module integration guides for GEO-INFER. Use when navigating documentation, finding cross-module integration patterns, understanding data flow architecture, or locating tutorials and API references.
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