Emergency management and disaster response. Use when planning search and rescue, optimizing emergency resource deployment, modeling disaster scenarios, coordinating evacuation routes, or managing multi-agency response logistics.
Resources
8Install
npx skillscat add activeinferenceinstitute/geo-infer/geo-infer-emergency Install via the SkillsCat registry.
GEO-INFER-EMERGENCY provides geospatial tools for emergency management and disaster response, covering search and rescue prioritization, resource deployment optimization, disaster scenario modeling, evacuation planning, and multi-agency coordination. It addresses the problem of spatially organizing rapid emergency responses by computing risk-based priorities and logistics plans. Developers should use it when building applications that require location-based emergency planning, SAR operations, or coordinated disaster response workflows.
GEO-INFER-EMERGENCY
Instructions
Core Capabilities
- Search and rescue: SAR area prioritization, probability mapping, detection models
- Resource deployment: Facility location, logistics optimization, capacity planning
- Disaster modeling: Impact assessment, scenario simulation, cascading failures
- Evacuation: Route planning, shelter capacity, population flow analysis
- Coordination: Multi-agency response, resource allocation, real-time tracking
Key Imports
from geo_infer_emergency.core.sar import SearchAndRescue
from geo_infer_emergency.core.resource_deployment import ResourceOptimizer
from geo_infer_emergency.core.disaster import DisasterModel
from geo_infer_emergency.core.evacuation import EvacuationPlannerExamples
from geo_infer_emergency.core.sar import SearchAndRescue
sar = SearchAndRescue()
priority_map = sar.compute_priority(
last_known_position=(45.5, -122.6),
terrain_data=terrain_raster,
time_elapsed_hours=6
)
search_cells = sar.plan_search_pattern(priority_map, n_teams=4)Guidelines
- Resource deployment optimization in development (Alpha)
Integrations
- Integrates with TRANSPORT for evacuation route optimization
- Integrates with COMMS for emergency notification broadcasting
- Test:
uv run python -m pytest GEO-INFER-EMERGENCY/tests/ -v