Real-time global intelligence dashboard aggregating news, markets, geopolitical data, and infrastructure monitoring into a unified situation awareness interface.

🌐 Live Demo: worldmonitor.app

TypeScript Vite D3.js Version

World Monitor Dashboard

• Zoom & Pan - Smooth navigation with mouse/trackpad gestures
• Multiple Views - Global, US, and MENA region presets
• Layer System - Toggle visibility of different data layers
• Time Filtering - Filter events by time range (1h to 7d)

Layers are organized into logical groups for efficient monitoring:

Geopolitical

Military & Strategic

Infrastructure

Transport

*AIS data via AISStream.io uses terrestrial receivers with stronger coverage in European/Atlantic waters. Middle East, Asia, and open ocean coverage is limited. Satellite AIS providers (Spire, Kpler) offer global coverage but require commercial licenses.

Natural Events

Economic & Labels

Beyond raw data feeds, the dashboard provides synthesized intelligence panels:

These panels transform raw signals into actionable intelligence by applying scoring algorithms, trend detection, and cross-source correlation.

Multi-source RSS aggregation across categories:

• World / Geopolitical - BBC, Reuters, AP, Guardian, NPR, Politico, The Telegraph
• Middle East / MENA - Al Jazeera, BBC ME, Guardian ME, CNN World
• Technology - Hacker News, Ars Technica, The Verge, MIT Tech Review
• AI / ML - ArXiv, Hugging Face, VentureBeat, OpenAI
• Finance - CNBC, MarketWatch, Financial Times, Yahoo Finance
• Government - White House, State Dept, Pentagon, Treasury, Fed, SEC
• Intel Feed - Defense One, Breaking Defense, Bellingcat, Krebs Security
• Think Tanks - Foreign Policy, Atlantic Council, Foreign Affairs
• Layoffs Tracker - Tech industry job cuts

Embedded YouTube live streams from major news networks with channel switching:

Features:

• Channel Switcher - One-click switching between networks
• Live Indicator - Blinking dot shows stream status, click to pause/play
• Mute Toggle - Audio control (muted by default)
• Double-Width Panel - Larger video player for better viewing

• Stocks - Major indices and tech stocks via Finnhub (Yahoo Finance backup)
• Commodities - Oil, gold, natural gas, copper, VIX
• Crypto - Bitcoin, Ethereum, Solana via CoinGecko
• Sector Heatmap - Visual sector performance (11 SPDR sectors)
• Economic Indicators - Fed data via FRED (assets, rates, yields)

• Polymarket integration for event probability tracking
• Correlation analysis with news events

Universal search across all data sources:

• News articles
• Geographic hotspots and conflicts
• Infrastructure (pipelines, cables, datacenters)
• Nuclear facilities and irradiators
• Markets and predictions

• CSV and JSON export of current dashboard state
• Historical playback from snapshots

The dashboard continuously analyzes data streams to detect significant patterns and anomalies. Signals appear in the header badge (⚡) with confidence scores.

The correlation engine maintains rolling snapshots of:

• News topic frequency (by keyword extraction)
• Market price changes
• Prediction market probabilities

Each refresh cycle compares current state to previous snapshot, applying thresholds and deduplication to avoid alert fatigue. Signals include confidence scores (60-95%) based on the strength of the pattern.

Not all sources are equal. The system implements a dual classification to prioritize authoritative information.

When multiple sources report the same story, the lowest tier (most authoritative) source is displayed as the primary, with others listed as corroborating.

Sources are also categorized by function for triangulation detection:

• Wire - News agencies (Reuters, AP, AFP, Bloomberg)
• Gov - Official government (White House, Pentagon, State Dept, Fed, SEC)
• Intel - Defense/security specialists (Defense One, Bellingcat, Krebs)
• Mainstream - Major news outlets (BBC, Guardian, NPR, Al Jazeera)
• Market - Financial press (CNBC, MarketWatch, Financial Times)
• Tech - Technology coverage (Hacker News, Ars Technica, MIT Tech Review)

Related articles are grouped using Jaccard similarity on tokenized headlines:

similarity(A, B) = |A ∩ B| / |A ∪ B|

• Headlines are tokenized, lowercased, and stripped of stop words
• Articles with similarity ≥ 0.5 are grouped into clusters
• Clusters are sorted by source tier, then recency
• The most authoritative source becomes the "primary" headline

Each news cluster tracks publication velocity:

• Sources per hour = article count / time span
• Trend = rising/stable/falling based on first-half vs second-half publication rate
• Levels: Normal (<3/hr), Elevated (3-6/hr), Spike (>6/hr)

Headlines are scored against curated word lists:

Negative indicators: war, attack, killed, crisis, crash, collapse, threat, sanctions, invasion, missile, terror, assassination, recession, layoffs...

Positive indicators: peace, deal, agreement, breakthrough, recovery, growth, ceasefire, treaty, alliance, victory...

Score determines sentiment classification: negative (<-1), neutral (-1 to +1), positive (>+1)

The system maintains rolling baselines for news volume per topic:

• 7-day average and 30-day average stored in IndexedDB
• Standard deviation calculated from historical counts
• Z-score = (current - mean) / stddev

Deviation levels:

• Spike: Z > 2.5 (statistically rare increase)
• Elevated: Z > 1.5
• Normal: -2 < Z < 1.5
• Quiet: Z < -2 (unusually low activity)

This enables detection of anomalous activity even when absolute numbers seem normal.

Hotspots on the map are not static threat levels. Activity is calculated in real-time based on news correlation.

Each hotspot defines keywords:

{
 id: 'dc',
 name: 'DC',
 keywords: ['pentagon', 'white house', 'congress', 'cia', 'nsa', ...],
 agencies: ['Pentagon', 'CIA', 'NSA', 'State Dept'],
}

The system counts matching news articles in the current feed, applies velocity analysis, and assigns activity levels:

This creates a dynamic "heat map" of global attention based on live news flow.

The dashboard maintains a real-time instability score for 20 strategically significant countries. Rather than relying on static risk ratings, the CII dynamically reflects current conditions based on multiple input streams.

Each country's CII is computed from three weighted components:

Unrest Score:
 base = min(50, protest_count ×ばつ 8)
 fatality_boost = min(30, total_fatalities ×ばつ 5)
 severity_boost = min(20, high_severity_count ×ばつ 10)
 unrest = min(100, base + fatality_boost + severity_boost)
Security Score:
 flight_score = min(50, military_flights ×ばつ 3)
 vessel_score = min(30, naval_vessels ×ばつ 5)
 security = min(100, flight_score + vessel_score)
Information Score:
 base = min(40, news_count ×ばつ 5)
 velocity_boost = min(40, avg_velocity ×ばつ 10)
 alert_boost = 20 if any_alert else 0
 information = min(100, base + velocity_boost + alert_boost)
Final CII = round(unrest ×ばつ 0.4 + security ×ばつ 0.3 + information ×ばつ 0.3)

The CII tracks 24-hour changes to identify trajectory:

• Rising: Score increased by ≥5 points (escalating situation)
• Stable: Change within ±5 points (steady state)
• Falling: Score decreased by ≥5 points (de-escalation)

Countries are matched to data via keyword lists:

• Russia: russia, moscow, kremlin, putin
• China: china, beijing, xi jinping, prc
• Taiwan: taiwan, taipei

This enables attribution of news and events to specific countries even when formal country codes aren't present in the source data.

One of the most valuable intelligence signals is when multiple independent data streams converge on the same geographic area. This often precedes significant events.

The system maintains a real-time grid of geographic cells (1° ×ばつ 1° resolution). Each cell tracks four event types:

When 3 or more different event types occur within the same cell during a 24-hour window, a convergence alert is generated.

type_score = event_types ×ばつ 25 # Max 100 (4 types)
count_boost = min(25, total_events ×ばつ 2)
convergence_score = min(100, type_score + count_boost)

Taiwan Strait Buildup

• Cell: 25°N, 121°E
• Events: Military flights (3), Naval vessels (2), Protests (1)
• Score: 75 + 12 = 87 (Critical)
• Signal: "Geographic Convergence (3 types) - military flights, naval vessels, protests"

Middle East Flashpoint

• Cell: 32°N, 35°E
• Events: Military flights (5), Protests (8), Earthquake (1)
• Score: 75 + 25 = 100 (Critical)
• Signal: Multiple activity streams converging on region

Individual data points are often noise. But when protests break out, military assets reposition, and seismic monitors detect anomalies in the same location simultaneously, it warrants attention—regardless of whether any single source is reporting a crisis.

Critical infrastructure is interdependent. A cable cut doesn't just affect connectivity—it creates cascading effects across dependent countries and systems. The cascade analysis system visualizes these dependencies.

The system builds a graph of 279 infrastructure nodes and 280 dependency edges:

When a user selects an infrastructure asset for analysis, a breadth-first cascade propagates through the graph:

1. Start at source node (e.g., "cable:marea")
2. For each dependent node:
 impact = edge_strength ×ばつ disruption_level ×ばつ (1 - redundancy)
3. Categorize impact:
 - Critical: impact > 0.8
 - High: impact > 0.5
 - Medium: impact > 0.2
 - Low: impact ≤ 0.2
4. Recurse to depth 3 (prevent infinite loops)

The system accounts for alternative routes:

• Cables with high redundancy show reduced impact
• Countries with multiple cable landings show lower vulnerability
• Alternative routes are displayed with capacity percentages

MAREA Cable Disruption:

Source: MAREA (US ↔ Spain, 200 Tbps)
Countries Affected: 4
- Spain: Medium (redundancy via other Atlantic cables)
- Portugal: Low (secondary landing)
- France: Low (alternative routes via UK)
- US: Low (high redundancy)
Alternative Routes: TAT-14 (35%), Hibernia (22%), AEConnect (18%)

FLAG Europe-Asia Disruption:

Source: FLAG Europe-Asia (UK ↔ Japan)
Countries Affected: 7
- India: Medium (major capacity share)
- UAE, Saudi Arabia: Medium (limited alternatives)
- UK, Japan: Low (high redundancy)
Alternative Routes: SEA-ME-WE 6 (11%), 2Africa (8%), Falcon (8%)

• Pre-positioning: Understand which countries are most vulnerable to specific infrastructure failures
• Risk Assessment: Evaluate supply chain exposure to chokepoint disruptions
• Incident Response: Quickly identify downstream effects of reported cable cuts or pipeline damage

The Strategic Risk Overview provides a composite dashboard that synthesizes all intelligence modules into a single risk assessment.

The strategic risk score combines three components:

Alerts from all modules are merged using temporal and spatial deduplication:

• Time window: Alerts within 2 hours may be merged
• Distance threshold: Alerts within 200km may be merged
• Same country: Alerts affecting the same country may be merged

When alerts merge, they become composite alerts that show the full picture:

Type: Composite Alert
Title: Convergence + CII + Infrastructure: Ukraine
Components:
 - Geographic Convergence: 4 event types in Kyiv region
 - CII Spike: Ukraine +15 points (Critical)
 - Infrastructure: Black Sea cables at risk
Priority: Critical

The system tracks the composite score over time:

• First measurement establishes baseline (shows "Stable")
• Subsequent changes of ±5 points trigger trend changes
• This prevents false "escalating" signals on initialization

The dashboard integrates real-time foot traffic data from strategic locations near government and military facilities. This "Pizza Index" concept—tracking late-night activity spikes at restaurants near the Pentagon, Langley, and other facilities—provides an unconventional indicator of crisis activity.

The system aggregates percentage-of-usual metrics from monitored locations:

1. Locations: Fast food, pizza shops, and convenience stores near Pentagon, CIA, NSA, State Dept, and other facilities
2. Aggregation: Activity percentages are averaged, capped at 100%
3. Spike Detection: Locations exceeding their baseline are flagged

Aggregate activity maps to a 5-level readiness scale:

The indicator also displays geopolitical tension scores from GDELT (Global Database of Events, Language, and Tone):

Each pair shows:

• Current tension score (GDELT's normalized metric)
• 7-day trend (rising, falling, stable)
• Percentage change from previous period

This provides context for the activity levels—a spike at Pentagon locations during a rising China-Taiwan tension score carries different weight than during a quiet period.

News clusters are automatically enriched with nearby critical infrastructure. When a story mentions a geographic region, the system identifies relevant assets within 600km, providing immediate operational context.

The system infers the geographic focus of news stories through:

1. Keyword matching: Headlines are scanned against hotspot keyword lists (e.g., "Taiwan" → Taiwan Strait hotspot)
2. Confidence scoring: Multiple keyword matches increase location confidence
3. Fallback to conflicts: If no hotspot matches, active conflict zones are checked

Assets are ranked by Haversine distance from the inferred location:

d = 2r ×ばつ arcsin(√(sin2(Δφ/2) + cos(φ1) ×ばつ cos(φ2) ×ばつ sin2(Δλ/2)))

Up to 3 assets per type are displayed, sorted by proximity.

A news cluster about "pipeline explosion in Germany" would show:

• Pipelines: Nord Stream (23km), Yamal-Europe (156km)
• Cables: TAT-14 landing (89km)
• Bases: Ramstein (234km)

Clicking an asset zooms the map to its location and displays detailed information.

Create personalized keyword alerts that scan all incoming news:

1. Enter comma-separated keywords (e.g., "nvidia, gpu, chip shortage")
2. System assigns a unique color
3. Matching articles are highlighted in the Monitor panel
4. Matching articles in clusters inherit the monitor color

Monitors persist across sessions via LocalStorage.

The dashboard highlights newly-arrived items so you can quickly identify what changed since your last look.

The system uses IntersectionObserver to detect when panels become visible:

• When a panel is >50% visible for >500ms, items are marked as "seen"
• Scrolling through a panel marks visible items progressively
• Switching panels resets the "new" state appropriately

Each panel maintains independent activity state:

• News: New clusters since last view
• Markets: Price changes exceeding thresholds
• Predictions: Probability shifts >5%
• Natural Events: New earthquakes and EONET events

This enables focused monitoring—you can collapse panels you've reviewed and see at a glance which have new activity.

The dashboard captures periodic snapshots for historical analysis:

• Automatic capture every refresh cycle
• 7-day retention with automatic cleanup
• Stored data: news clusters, market prices, prediction values, hotspot levels
• Playback: Load historical snapshots to see past dashboard states

Baselines (7-day and 30-day averages) are stored in IndexedDB for deviation analysis.

The Ships layer provides real-time vessel tracking and maritime domain awareness through AIS (Automatic Identification System) data.

The system monitors eight critical maritime chokepoints where disruptions could impact global trade:

Vessel positions are aggregated into a 2° grid to calculate traffic density. Each cell tracks:

• Current vessel count
• Historical baseline (30-minute rolling window)
• Change percentage from baseline

Density changes of ±30% trigger alerts, indicating potential congestion, diversions, or blockades.

The system monitors for AIS gaps—vessels that stop transmitting their position. An AIS gap exceeding 60 minutes in monitored regions may indicate:

• Sanctions evasion (ship-to-ship transfers)
• Illegal fishing
• Military activity
• Equipment failure

Vessels reappearing after gaps are flagged for the duration of the session.

AIS data flows through a WebSocket relay for real-time updates without polling:

AISStream → WebSocket Relay → Browser
 (ws://relay)

The connection automatically reconnects on disconnection with a 30-second backoff. When the Ships layer is disabled, the WebSocket disconnects to conserve resources.

The Military layer provides specialized tracking of military vessels and aircraft, identifying assets by their transponder characteristics and monitoring activity patterns.

Vessels are identified as military through multiple methods:

MMSI Analysis: Maritime Mobile Service Identity numbers encode the vessel's flag state. The system maintains a mapping of 150+ country codes to identify naval vessels:

Callsign Patterns: Known military callsign prefixes (NAVY, GUARD, etc.) provide secondary identification.

The system monitors 12 critical maritime chokepoints with configurable detection radii:

When military vessels enter these zones, proximity alerts are generated.

Activity near 12 major naval installations is tracked:

• Norfolk (USA) - Atlantic Fleet headquarters
• Pearl Harbor (USA) - Pacific Fleet base
• Sevastopol (Russia) - Black Sea Fleet
• Qingdao (China) - North Sea Fleet
• Yokosuka (Japan) - US 7th Fleet

Vessels within 50km of these bases are flagged, enabling detection of unusual activity patterns.

Military aircraft are tracked via the OpenSky Network using ADS-B data. OpenSky blocks unauthenticated requests from cloud provider IPs (Vercel, Railway, AWS), so aircraft tracking requires a relay server with credentials.

Authentication:

• Register for a free account at opensky-network.org
• Create an API client in account settings to get OPENSKY_CLIENT_ID and OPENSKY_CLIENT_SECRET
• The relay uses Basic Auth with these credentials to bypass cloud IP blocks

Identification Methods:

• Callsign matching: Known military callsign patterns (RCH, REACH, DUKE, etc.)
• ICAO hex ranges: Military aircraft use assigned hex code blocks by country
• Altitude/speed profiles: Unusual flight characteristics

Tracked Metrics:

• Position history (20-point trails over 5-minute windows)
• Altitude and ground speed
• Heading and track

Activity Detection:

• Formations (multiple military aircraft in proximity)
• Unusual patterns (holding, reconnaissance orbits)
• Chokepoint transits

The system maintains position trails for tracked vessels:

• 30-point history per MMSI
• 10-minute cleanup interval for stale data
• Trail visualization on map for recent movement

This enables detection of loitering, circling, or other anomalous behavior patterns.

The Protests layer aggregates civil unrest data from two independent sources, providing corroboration and global coverage.

Academic-grade conflict data with human-verified events:

• Coverage: Global, 30-day rolling window
• Event types: Protests, riots, strikes, demonstrations
• Metadata: Actors involved, fatalities, detailed notes
• Confidence: High (human-curated)

Real-time news-derived event data:

• Coverage: Global, 7-day rolling window
• Event types: Geocoded protest mentions from news
• Volume: Reports per location (signal strength)
• Confidence: Medium (algorithmic extraction)

Events from both sources are deduplicated using a 0.5° spatial grid and date matching. When both ACLED and GDELT report events in the same area:

• Confidence is elevated to "high"
• ACLED data takes precedence (higher accuracy)
• Source list shows corroboration

Events near intelligence hotspots are cross-referenced to provide geopolitical context.

The Flights layer tracks airport delays and ground stops at major US airports using FAA NASSTATUS data.

The 30 largest US airports are tracked:

• Major hubs: JFK, LAX, ORD, ATL, DFW, DEN, SFO
• International gateways with high traffic volume
• Airports frequently affected by weather or congestion

Ground stops are particularly significant—they indicate severe disruption (weather, security, or infrastructure failure) and can cascade across the network.

The dashboard handles untrusted data from dozens of external sources. Defense-in-depth measures prevent injection attacks and API abuse.

All user-visible content is sanitized before DOM insertion:

escapeHtml(str) // Encodes & < > " ' as HTML entities
sanitizeUrl(url) // Allows only http/https protocols

This applies to:

• News headlines and sources (RSS feeds)
• Search results and highlights
• Monitor keywords (user input)
• Map popup content
• Tension pair labels

The <mark> highlighting in search escapes text before wrapping matches, preventing injection via crafted search queries.

Serverless proxy functions validate and clamp all parameters:

This prevents upstream API abuse and rate limit exhaustion from malformed requests.

• URLs are validated via URL() constructor—only http: and https: protocols are permitted
• External links use rel="noopener" to prevent reverse tabnapping
• No inline scripts or eval()—all code is bundled at build time

External APIs are unreliable. Rate limits, outages, and network errors are inevitable. The system implements circuit breaker patterns to maintain availability.

Each external service is wrapped in a circuit breaker that tracks failures:

Normal → Failure #1 → Failure #2 → OPEN (cooldown)
 ↓
 5 minutes pass
 ↓
 CLOSED

Behavior during cooldown:

• New requests return cached data (if available)
• UI shows "temporarily unavailable" status
• No API calls are made (prevents hammering)

RSS feeds use per-feed circuit breakers—one failing feed doesn't affect others.

When a service enters cooldown:

1. Cached data continues to display (stale but available)
2. Status panel shows service health
3. Automatic recovery when cooldown expires
4. No user intervention required

API calls are expensive. The system only fetches data for enabled layers, reducing unnecessary network traffic and rate limit consumption.

When a layer is toggled OFF:

• No API calls for that data source
• No refresh interval scheduled
• WebSocket connections closed (for AIS)

When a layer is toggled ON:

• Data is fetched immediately
• Refresh interval begins
• Loading indicator shown on toggle button

Some data sources require API keys (AIS relay, Cloudflare Radar). If credentials are not configured:

• The layer toggle is hidden entirely
• No failed requests pollute the console
• Users see only functional layers

This prevents confusion when deploying without full API access.

The dashboard processes thousands of data points in real-time. Several techniques keep the UI responsive even with heavy data loads.

CPU-intensive operations run in a dedicated Web Worker to avoid blocking the main thread:

The worker manager implements:

• Lazy initialization: Worker spawns on first use
• 10-second ready timeout: Rejects if worker fails to initialize
• 30-second request timeout: Prevents hanging on stuck operations
• Automatic cleanup: Terminates worker on fatal errors

Large lists (100+ news items) use virtualized rendering:

Fixed-Height Mode (VirtualList):

• Only renders items visible in viewport + 3-item overscan buffer
• Element pooling—reuses DOM nodes rather than creating new ones
• Invisible spacers maintain scroll position without rendering all items

Variable-Height Mode (WindowedList):

• Chunk-based rendering (10 items per chunk)
• Renders chunks on-scroll with 1-chunk buffer
• CSS containment for performance isolation

This reduces DOM node count from thousands to ~30, dramatically improving scroll performance.

Identical requests within a short window are deduplicated:

• Market quotes batch multiple symbols into single API call
• Concurrent layer toggles don't spawn duplicate fetches
• Promise.allSettled ensures one failing request doesn't block others

When refreshing data:

• Incremental updates: Only changed items trigger re-renders
• Stale-while-revalidate: Old data displays while fetch completes
• Delta compression: Baselines store 7-day/30-day deltas, not raw history

The Prediction Markets panel focuses on geopolitically relevant markets, filtering out sports and entertainment.

Markets matching these topics are displayed:

• Conflicts: war, military, invasion, ceasefire, NATO, nuclear
• Countries: Russia, Ukraine, China, Taiwan, Iran, Israel, Gaza
• Leaders: Putin, Zelensky, Trump, Biden, Xi Jinping, Netanyahu
• Economics: Fed, interest rate, inflation, recession, tariffs, sanctions
• Global: UN, EU, treaties, summits, coups, refugees

Markets matching these are filtered out:

• Sports: NBA, NFL, FIFA, World Cup, championships, playoffs
• Entertainment: Oscars, movies, celebrities, TikTok, streaming

This ensures the panel shows markets like "Will Russia withdraw from Ukraine?" rather than "Will the Lakers win the championship?"

• D3.js: Map projection, SVG rendering, zoom behavior
• TopoJSON: Efficient geographic data encoding
• DOMPurify pattern: HTML escaping (custom implementation)

The entire UI is hand-crafted DOM manipulation—no React, Vue, or Angular. This keeps the bundle small (~200KB gzipped) and provides fine-grained control over rendering performance.

# Clone the repository
git clone https://github.com/koala73/worldmonitor.git
cd worldmonitor
# Install dependencies
npm install
# Start development server
npm run dev
# Build for production
npm run build

The dashboard fetches data from various public APIs and data sources:

Some features require API credentials. Without them, the corresponding layer is hidden:

The dashboard functions fully without these keys—affected layers simply don't appear. Core functionality (news, markets, earthquakes, weather) requires no configuration.

src/
├── App.ts # Main application orchestrator
├── main.ts # Entry point
├── components/
│ ├── Map.ts # D3.js map with 20+ toggleable layers
│ ├── MapPopup.ts # Contextual info popups
│ ├── SearchModal.ts # Universal search (⌘K)
│ ├── SignalModal.ts # Signal intelligence display
│ ├── PizzIntIndicator.ts # Pentagon Pizza Index display
│ ├── VirtualList.ts # Virtual/windowed scrolling
│ ├── EconomicPanel.ts # FRED economic indicators
│ ├── GdeltIntelPanel.ts # Topic-based intelligence (cyber, military, etc.)
│ ├── LiveNewsPanel.ts # YouTube live news streams with channel switching
│ ├── NewsPanel.ts # News feed with clustering
│ ├── MarketPanel.ts # Stock/commodity display
│ ├── MonitorPanel.ts # Custom keyword monitors
│ ├── CIIPanel.ts # Country Instability Index display
│ ├── CascadePanel.ts # Infrastructure cascade analysis
│ ├── StrategicRiskPanel.ts # Strategic risk overview dashboard
│ └── ...
├── config/
│ ├── feeds.ts # 45+ RSS feeds, source tiers
│ ├── geo.ts # Hotspots, conflicts, 55 cables, waterways
│ ├── pipelines.ts # 88 oil & gas pipelines
│ ├── ports.ts # 61 strategic ports worldwide
│ ├── bases-expanded.ts # 220+ military bases
│ ├── ai-datacenters.ts # 313 AI clusters (filtered to 111)
│ ├── airports.ts # 30 monitored US airports
│ ├── irradiators.ts # IAEA gamma irradiator sites
│ ├── nuclear-facilities.ts # Global nuclear infrastructure
│ └── markets.ts # Stock symbols, sectors
├── services/
│ ├── ais.ts # WebSocket vessel tracking
│ ├── military-vessels.ts # Naval vessel identification
│ ├── military-flights.ts # Aircraft tracking via OpenSky
│ ├── pizzint.ts # Pentagon Pizza Index + GDELT tensions
│ ├── protests.ts # ACLED + GDELT integration
│ ├── gdelt-intel.ts # GDELT Doc API topic intelligence
│ ├── flights.ts # FAA delay parsing
│ ├── outages.ts # Cloudflare Radar integration
│ ├── rss.ts # RSS parsing with circuit breakers
│ ├── markets.ts # Finnhub, Yahoo Finance, CoinGecko
│ ├── earthquakes.ts # USGS integration
│ ├── eonet.ts # NASA EONET natural events
│ ├── weather.ts # NWS alerts
│ ├── fred.ts # Federal Reserve data
│ ├── polymarket.ts # Prediction markets (filtered)
│ ├── clustering.ts # Jaccard similarity clustering
│ ├── correlation.ts # Signal detection engine
│ ├── velocity.ts # Velocity & sentiment analysis
│ ├── related-assets.ts # Infrastructure near news events
│ ├── activity-tracker.ts # New item detection & highlighting
│ ├── analysis-worker.ts # Web Worker manager
│ ├── storage.ts # IndexedDB snapshots & baselines
│ ├── country-instability.ts # CII scoring algorithm
│ ├── geo-convergence.ts # Geographic convergence detection
│ ├── infrastructure-cascade.ts # Dependency graph and cascade analysis
│ └── cross-module-integration.ts # Unified alerts and strategic risk
├── workers/
│ └── analysis.worker.ts # Off-thread clustering & correlation
├── utils/
│ ├── circuit-breaker.ts # Fault tolerance pattern
│ ├── sanitize.ts # XSS prevention (escapeHtml, sanitizeUrl)
│ ├── urlState.ts # Shareable link encoding/decoding
│ └── analysis-constants.ts # Shared thresholds for worker sync
├── styles/
└── types/
api/ # Vercel Edge serverless proxies
├── cloudflare-outages.js # Proxies Cloudflare Radar
├── coingecko.js # Crypto prices with validation
├── faa-status.js # FAA ground stops/delays
├── finnhub.js # Stock quotes (batch, primary)
├── fred-data.js # Federal Reserve economic data
├── gdelt-doc.js # GDELT Doc API (topic intelligence)
├── gdelt-geo.js # GDELT Geo API (event geolocation)
├── polymarket.js # Prediction markets with validation
├── yahoo-finance.js # Stock indices/commodities (backup)
└── opensky-relay.js # Military aircraft tracking

• ⌘K / Ctrl+K - Open search
• ↑↓ - Navigate search results
• Enter - Select result
• Esc - Close modals

• Scroll - Zoom in/out
• Drag - Pan the map
• Click markers - Show detailed popup
• Layer toggles - Show/hide data layers

• Drag panels - Reorder layout
• Settings (⚙) - Toggle panel visibility

The current view state is encoded in the URL, enabling:

• Bookmarking: Save specific views for quick access
• Sharing: Send colleagues a link to your exact map position and layer configuration
• Deep linking: Link directly to a specific region or feature

Encoded Parameters:

Example: ?lat=38.9&lon=-77&zoom=6&layers=bases,conflicts,hotspots

Values are validated and clamped to prevent invalid states.

Aggregates 45+ RSS feeds from major news outlets, government sources, and specialty publications with source-tier prioritization. Categories include world news, MENA, technology, AI/ML, finance, government releases, defense/intel, and think tanks.

• Hotspots: 25+ global intelligence hotspots with keyword correlation
• Conflicts: 10+ active conflict zones with involved parties
• Military Bases: 220+ installations from US, NATO, Russia, China, and allies
• Pipelines: 88 operating oil/gas pipelines across all continents
• Undersea Cables: 55 major submarine cable routes
• Nuclear: 100+ power plants, weapons labs, enrichment facilities
• AI Infrastructure: 111 major compute clusters (≥10k GPUs)
• Strategic Waterways: 8 critical chokepoints
• Ports: 61 strategic ports (container, oil/LNG, naval, chokepoint)

• USGS: Earthquake feed (M4.5+ global)
• NASA EONET: Natural events (storms, wildfires, volcanoes, floods)
• NWS: Severe weather alerts (US)
• FAA: Airport delays and ground stops
• Cloudflare Radar: Internet outage detection
• AIS: Real-time vessel positions
• ACLED/GDELT: Protest and unrest events
• Yahoo Finance: Stock quotes and indices
• CoinGecko: Cryptocurrency prices
• FRED: Federal Reserve economic data
• Polymarket: Prediction market odds

This project uses data from the following sources. Please respect their terms of use.

Data provided by The OpenSky Network. If you use this data in publications, please cite:

Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm. "Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research". In Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN), pages 83-94, April 2014.

• ACLED: Armed Conflict Location & Event Data. Source: ACLED. Data must be attributed per their Attribution Policy.
• GDELT: Global Database of Events, Language, and Tone. Source: The GDELT Project.

• Stock Quotes: Powered by Finnhub (primary), with Yahoo Finance as backup for indices and commodities
• Cryptocurrency: Powered by CoinGecko API
• Economic Indicators: Data from FRED, Federal Reserve Bank of St. Louis

• Earthquakes: U.S. Geological Survey, ANSS Comprehensive Catalog
• Natural Events: NASA EONET - Earth Observatory Natural Event Tracker (storms, wildfires, volcanoes, floods)
• Weather Alerts: National Weather Service - Open data, free to use

• Airport Delays: FAA Air Traffic Control System Command Center
• Vessel Tracking: AISstream real-time AIS data
• Internet Outages: Cloudflare Radar (CC BY-NC 4.0)

• Prediction Markets: Polymarket

Original dashboard concept inspired by Reggie James (@HipCityReg) - with thanks for the vision of a comprehensive situation awareness tool

This project is a proof of concept demonstrating what's possible with publicly available data. While functional, there are important limitations:

Some data sources require paid accounts for full access:

• ACLED: Free tier has API restrictions; Research tier required for programmatic access
• OpenSky Network: Rate-limited; commercial tiers offer higher quotas
• Satellite AIS: Global coverage requires commercial providers (Spire, Kpler, etc.)

The dashboard works with free tiers but may have gaps in coverage or update frequency.

The Ships layer uses terrestrial AIS receivers via AISStream.io. This creates a geographic bias:

• Strong coverage: European waters, Atlantic, major ports
• Weak coverage: Middle East, open ocean, remote regions

Terrestrial receivers only detect vessels within ~50km of shore. Satellite AIS (commercial) provides true global coverage but is not included in this free implementation.

Some publishers block requests from cloud providers (Vercel, Railway, AWS):

• RSS feeds from certain outlets may fail with 403 errors
• This is a common anti-bot measure, not a bug in the dashboard
• Affected feeds are automatically disabled via circuit breakers

The system degrades gracefully—blocked sources are skipped while others continue functioning.

See ROADMAP.md for detailed planning. Recent intelligence enhancements:

• ✅ Multi-Signal Geographic Convergence - Alerts when 3+ data types converge on same region within 24h
• ✅ Country Instability Index (CII) - Real-time composite risk score for 20 Tier-1 countries
• ✅ Infrastructure Cascade Visualization - Dependency graph showing downstream effects of disruptions
• ✅ Strategic Risk Overview - Unified alert system with cross-module correlation and deduplication
• ✅ GDELT Topic Intelligence - Categorized feeds for military, cyber, nuclear, and sanctions topics
• ✅ OpenSky Authentication - OAuth2 credentials for military aircraft tracking via relay
• ✅ Human-Readable Locations - Convergence alerts show place names instead of coordinates
• ✅ Data Freshness Tracking - Status panel shows enabled/disabled state for all feeds

High Priority:

• Temporal Anomaly Detection - Flag activity unusual for time of day/week/year (e.g., "military flights 3x normal for Tuesday")
• Trade Route Risk Scoring - Real-time supply chain vulnerability for major shipping routes (Asia→Europe, Middle East→Europe, etc.)

Medium Priority:

• Historical Playback - Review past dashboard states with timeline scrubbing
• Election Calendar Integration - Auto-boost sensitivity 30 days before major elections
• Choropleth CII Map Layer - Country-colored overlay showing instability scores

Future Enhancements:

• Alert Webhooks - Push critical alerts to Slack, Discord, email
• Custom Country Watchlists - User-defined Tier-2 country monitoring
• Additional Data Sources - World Bank, IMF, OFAC sanctions, UNHCR refugee data, FAO food security
• Think Tank Feeds - RUSI, Chatham House, ECFR, CFR, Wilson Center, CNAS, Arms Control Association

The full ROADMAP.md documents implementation details, API endpoints, and 30+ free data sources for future integration.

Information density over aesthetics. Every pixel should convey signal. The dark interface minimizes eye strain during extended monitoring sessions.

Authority matters. Not all sources are equal. Wire services and official government channels are prioritized over aggregators and blogs.

Correlation over accumulation. Raw news feeds are noise. The value is in clustering related stories, detecting velocity changes, and identifying cross-source patterns.

Local-first. No accounts, no cloud sync. All preferences and history stored locally. The only network traffic is fetching public data.

Contributions are welcome! Whether you're fixing bugs, adding features, improving documentation, or suggesting ideas, your help makes this project better.

1. Fork the repository on GitHub
2. Clone your fork locally:

   git clone https://github.com/YOUR_USERNAME/worldmonitor.git
   cd worldmonitor

3. Install dependencies:

   npm install

4. Create a feature branch:

   git checkout -b feature/your-feature-name

5. Start the development server:

   npm run dev

This project follows specific patterns to maintain consistency:

TypeScript

• Strict type checking enabled—avoid any where possible
• Use interfaces for data structures, types for unions
• Prefer const over let, never use var

Architecture

• Services (src/services/) handle data fetching and business logic
• Components (src/components/) handle UI rendering
• Config (src/config/) contains static data and constants
• Utils (src/utils/) contain shared helper functions

Security

• Always use escapeHtml() when rendering user-controlled or external data
• Use sanitizeUrl() for any URLs from external sources
• Validate and clamp parameters in API proxy endpoints

Performance

• Expensive computations should run in the Web Worker
• Use virtual scrolling for lists with 50+ items
• Implement circuit breakers for external API calls

No Comments Policy

• Code should be self-documenting through clear naming
• Only add comments for non-obvious algorithms or workarounds
• Never commit commented-out code

1. Ensure your code builds:

   npm run build

2. Test your changes manually in the browser

3. Write a clear commit message:

   Add earthquake magnitude filtering to map layer
   - Adds slider control to filter by minimum magnitude
   - Persists preference to localStorage
   - Updates URL state for shareable links
   

4. Push to your fork:

   git push origin feature/your-feature-name

5. Open a Pull Request with:

   • A clear title describing the change
   • Description of what the PR does and why
   • Screenshots for UI changes
   • Any breaking changes or migration notes

🐛 Bug Fixes

• Found something broken? Fix it and submit a PR
• Include steps to reproduce in the PR description

✨ New Features

• New data layers (with public API sources)
• UI/UX improvements
• Performance optimizations
• New signal detection algorithms

📊 Data Sources

• Additional RSS feeds for news aggregation
• New geospatial datasets (bases, infrastructure, etc.)
• Alternative APIs for existing data

📝 Documentation

• Clarify existing documentation
• Add examples and use cases
• Fix typos and improve readability

🔒 Security

• Report vulnerabilities via GitHub Issues (non-critical) or email (critical)
• XSS prevention improvements
• Input validation enhancements

1. Automated checks run on PR submission
2. Maintainer review within a few days
3. Feedback addressed through commits to the same branch
4. Merge once approved

PRs that don't follow the code style or introduce security issues will be asked to revise.

Adding a New Data Layer

1. Create service in src/services/ for data fetching
2. Add layer toggle in src/components/Map.ts
3. Add rendering logic for map markers/overlays
4. Add to help panel documentation
5. Update README with layer description

Adding a New API Proxy

1. Create handler in api/ directory
2. Implement input validation (see existing proxies)
3. Add appropriate cache headers
4. Document any required environment variables

Debugging

• Browser DevTools → Network tab for API issues
• Console logs prefixed with [ServiceName] for easy filtering
• Circuit breaker status visible in browser console

MIT

Elie Habib

Built for situational awareness and open-source intelligence gathering.