marine-safety-incidents

name	marine-safety-incidents
description	Collect, analyze, and report marine safety incident data from 7 global maritime authorities. Use for incident scraping, safety trend analysis, risk assessment, geographic hotspot identification, and marine safety reporting.
type	reference
capabilities	[]
requires	[]
tags	[]
category	data
version	1.0.0

Marine Safety Incidents

When to Use

• Marine safety incident data collection and scraping
• Safety trend analysis and risk assessment
• Geographic hotspot identification
• Incident type classification and severity analysis
• Environmental impact assessment from marine incidents
• Regulatory compliance reporting
• Root cause analysis

Prerequisites

• Python environment with worldenergydata package installed
• Database connection (PostgreSQL recommended)
• API keys for relevant data sources (if applicable)

Python API

Data Collection

from worldenergydata.marine_safety.scrapers import MarineSafetyScraper
from worldenergydata.marine_safety.database import IncidentDatabase

# Initialize scraper
scraper = MarineSafetyScraper()

# Scrape from specific source
incidents = scraper.scrape(
    source="uscg",

*See sub-skills for full details.*
### Incident Analysis

```python
from worldenergydata.marine_safety.analysis import IncidentAnalyzer

# Initialize analyzer
analyzer = IncidentAnalyzer(database_url="postgresql://...")

# Get trend summary
trends = analyzer.get_trends(
    start_date="2020-01-01",
    end_date="2024-12-31",

*See sub-skills for full details.*
### Geographic Hotspot Detection

```python
from worldenergydata.marine_safety.analysis import GeographicAnalyzer

# Initialize geographic analyzer
geo = GeographicAnalyzer()

# Find hotspots
hotspots = geo.detect_hotspots(
    region="gulf_of_mexico",
    method="dbscan",

*See sub-skills for full details.*
### Risk Scoring

```python
from worldenergydata.marine_safety.analysis import RiskAssessor

# Initialize risk assessor
risk = RiskAssessor()

# Calculate risk scores
scores = risk.calculate_risk(
    vessel_type="offshore_platform",
    region="north_sea",

*See sub-skills for full details.*
### Reporting

```python
from worldenergydata.marine_safety.visualization import SafetyReportGenerator

# Initialize report generator
reporter = SafetyReportGenerator()


report = reporter.generate_report(
    start_date=,
    end_date=,

*See sub-skills  full details.*



| Class | Purpose |
|-------|---------|
| `MarineSafetyScraper` | Multi-source incident scraping |
| `IncidentDatabase` | Database operations  storage |
| `IncidentAnalyzer` | Statistical analysis  trends |
| `GeographicAnalyzer` | Hotspot detection  mapping |
| `RiskAssessor` | Risk scoring  assessment |
| `SafetyReportGenerator` | HTML/PDF report generation |



- [bsee-data-extractor](../bsee-data-extractor/SKILL.md) - BSEE-specific extraction
- [field-analyzer](../field-analyzer/SKILL.md) - Field-level analysis
- [energy-data-visualizer](../energy-data-visualizer/SKILL.md) - Visualization



- USCG Marine Safety Information Portal
- BSEE Incident Statistics
- IMO GISIS Maritime Casualties Database
- DNV Maritime Safety Standards



- [Best Practices](best-practices/SKILL.md)



- [ Incident Data Collection (+)](-incident-data-collection/SKILL.md)
- [CLI Usage](cli-usage/SKILL.md)
- [Data Sources](data-sources/SKILL.md)
- [Incident CSV (+)](incident-csv/SKILL.md)