Real-time Geographic Analysis

Geographic Intelligence

Location-based analytics and strategic resource allocation across Timor-Leste's 13 municipalities and 65 administrative posts

Time Period

View Type

Municipality Filter

Geographic Intelligence Map

Critical High incident density

Warning Medium incident density

Safe Low incident density

Monitor Deployed resources

Key Metrics

Geographic analysis summary

Hotspot Areas

Incidents Density

0/km²

Coverage Rate

Resource Efficiency

Quick Actions

Top 5 Municipalities by Safety

Administrative Post	Municipality	Safety Score	Incidents (30d)	Response Time	Trend	Actions

Incident Clusters Identified

Cluster Characteristics

Select a cluster to view details

Resource Allocation Matrix

Location	Current Resources	Recommended	Gap	Priority

Allocation Summary

Total Monitors: 0

Optimal Distribution: 0

Efficiency Score: 0%

🆕 NEW FEATURE: All Time Analysis

You can now analyze complete historical data from 2016-2023, providing comprehensive insights for long-term strategic planning.

🎛️ Control Panel

Time Period: Select analysis timeframe. "All Time" includes 7+ years of data (2016-2023) for comprehensive historical analysis.
View Type: Heat Map: Shows incident intensity across geographic areas
Cluster Analysis: Groups nearby incidents to identify patterns
Resource Allocation: Displays monitor deployment recommendations
Municipality Filter: Focus analysis on specific municipality or view all 13 municipalities of Timor-Leste.

📊 Key Metrics Explained

Hotspot Areas: Geographic areas with 3 or more incidents requiring focused attention and possible resource deployment.
Incident Density: Average number of incidents per square kilometer, helping identify the most affected areas.
Coverage Rate: Percentage of areas with active monitoring coverage by community monitors.
Resource Efficiency: Effectiveness of current monitor deployment strategy based on incident patterns and response times.

📋 Analysis Tabs

Municipal Comparison: Compare safety scores and incident patterns across all 13 municipalities.

Administrative Posts: Detailed rankings of 65 administrative posts by safety metrics and trends.

Cluster Analysis: Identify spatial patterns and incident clustering to understand geographic risk factors.

Resource Allocation: Strategic recommendations for deploying monitors based on data-driven analysis.

🗺️ Map Visualization

The interactive map shows:

Heat layers: Incident intensity by color and density
Cluster markers: Grouped incidents with popup details
Resource markers: Current and recommended monitor locations
Geographic boundaries: Municipal and administrative post borders

📈 Strategic Use Cases

Resource Planning:

Use "All Time" view to identify persistent hotspots requiring permanent monitor deployment.

Trend Analysis:

Compare recent patterns (30d) with historical data to detect emerging threats.

Impact Assessment:

Measure effectiveness of interventions by comparing before/after incident patterns.

📊 Data Quality

Source: BELUN Early Warning Early Response system with verified community monitor reports
Coverage: All 13 municipalities, 65 administrative posts, 442 villages
Historical Depth: 2016-2023 (7+ years) with 6,000+ incident records