GEO-INFER-RISK

title	GEO-INFER-RISK: Risk Assessment and Management
description	Hazard assessment, vulnerability analysis, and risk modeling
purpose	Provide comprehensive risk assessment and mitigation planning
module_type	Domain Application
status	Beta
last_updated	2026-02-25
dependencies	SPACE TIME DATA
compatibility	GEO-INFER-SPACE GEO-INFER-TIME GEO-INFER-EMERGENCY
tags	risk hazards vulnerability resilience mitigation
difficulty	Advanced
estimated_time	50

🌍 GEO-INFER Core

🤖 Agent Architecture • 📦 Module Index • 📚 Documentation • 🧠 Claude Skill

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GEO-INFER-RISK: Risk Assessment and Management

Overview

GEO-INFER-RISK provides comprehensive risk capabilities:

• Hazard Assessment: Multi-hazard identification and mapping
• Vulnerability Analysis: Asset and population vulnerability
• Risk Modeling: Probabilistic risk quantification
• Mitigation Planning: Cost-effective risk reduction

Features

Hazard Assessment

from geo_infer_risk import EnhancedHazardModel

# Model natural hazards
hazard = EnhancedHazardModel(
    hazard_type="flood",
    params={"return_periods": [50, 100, 500], "region": study_region}
)

results = hazard.calculate_hazard(locations=study_points)
print(f"Hazard intensities: {results}")

Vulnerability Analysis

from geo_infer_risk import EnhancedVulnerabilityModel

# Analyze vulnerability
vuln = EnhancedVulnerabilityModel(
    vulnerability_type="structural",
    params={"building_type": "residential", "construction": "masonry"}
)

damage_ratio = vuln.calculate_damage(hazard_intensity=0.3)
print(f"Expected damage ratio: {damage_ratio:.2%}")

Risk Modeling

from geo_infer_risk import RiskEngine

# Model risk scenarios
engine = RiskEngine(config={"analysis_type": "probabilistic"})

risk = engine.run_analysis(
    hazard_model=earthquake_model,
    exposure_data=building_inventory,
    vulnerability_model=fragility_model
)

print(f"Expected annual loss: ${risk['expected_loss']}M")

Mitigation Planning

from geo_infer_risk import RiskEngine

# Evaluate risk reduction strategies
engine = RiskEngine(config={"analysis_type": "cost_benefit"})

baseline = engine.run_analysis(hazard_model=hazard, exposure_data=assets,
                                vulnerability_model=current_vuln)
mitigated = engine.run_analysis(hazard_model=hazard, exposure_data=assets,
                                 vulnerability_model=retrofitted_vuln)

reduction = 1 - mitigated['expected_loss'] / baseline['expected_loss']
print(f"Risk reduction: {reduction:.1%}")

Hazards Supported

Hazard	Analysis
Flood	Inundation, depth-damage
Earthquake	Shaking, liquefaction
Wildfire	Spread, WUI
Hurricane	Wind, surge
Landslide	Susceptibility

Integration Points

Module	Integration
GEO-INFER-EMERGENCY	Incident response
GEO-INFER-CLIMATE	Climate hazards
GEO-INFER-ECON	Loss estimation

Installation

uv pip install -e "./GEO-INFER-RISK"

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Status: Beta

Last Updated: 2026-02-25

Documentation Hub

Full framework documentation, guides, and tutorials are available in the GEO-INFER-INTRA documentation hub.

Resource	Description
Getting Started	Installation, first steps, quick start guides
Module Overview	All 44 modules with descriptions and use cases
Integration Patterns	How modules work together
Testing Guide	Testing standards, fixtures, CI integration
API Standards	Code conventions and contribution guidelines