ActiveInferenceInstitute

geo-infer-emergency

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.

ActiveInferenceInstitute 15 2 Updated 6mo ago

Resources

8
GitHub

Install

npx skillscat add activeinferenceinstitute/geo-infer/geo-infer-emergency

Install via the SkillsCat registry.

About this skill

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.

SKILL.md

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 EvacuationPlanner

Examples

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