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weather_integration.md

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Weather Integration Plan

Overview

Integrate weather data with bird detection patterns to analyze correlations between weather conditions and bird activity.

Components

1. Weather Data Source

  • Use OpenWeatherMap API for weather data
    • Current weather
    • Historical weather
    • Hourly forecasts
  • Key weather metrics to track:
    • Temperature
    • Precipitation
    • Wind speed/direction
    • Cloud cover
    • Humidity
    • Pressure
    • Visibility

2. Database Schema

CREATE TABLE weather_data (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    timestamp DATETIME NOT NULL,
    temperature REAL,
    feels_like REAL,
    humidity INTEGER,
    pressure INTEGER,
    wind_speed REAL,
    wind_direction INTEGER,
    precipitation REAL,
    cloud_cover INTEGER,
    visibility INTEGER,
    weather_condition TEXT,
    created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);

CREATE INDEX idx_weather_timestamp ON weather_data(timestamp);

-- Join table for correlating weather with detections
CREATE TABLE detection_weather (
    detection_id INTEGER,
    weather_id INTEGER,
    FOREIGN KEY (detection_id) REFERENCES detections(id),
    FOREIGN KEY (weather_id) REFERENCES weather_data(id)
);

3. Backend Components

Weather Service

  • Fetch and store weather data periodically
  • Match weather conditions with detection times
  • Calculate weather-based statistics

New API Endpoints

# Weather data endpoints
GET /api/weather/current
GET /api/weather/historical/<date>
GET /api/weather/forecast

# Correlation analysis endpoints
GET /api/analysis/weather-correlation
  - Parameters:
    - start_date
    - end_date
    - species (optional)
    - weather_metric (temp/wind/etc)
    
GET /api/analysis/activity-patterns
  - Parameters:
    - weather_condition
    - temperature_range
    - time_of_day

4. Frontend Components

New Vue Components

  1. WeatherCorrelationChart.vue
// Display correlation between weather metrics and bird activity
// - Line chart showing weather vs activity
// - Support for different weather metrics
// - Time range selection
// - Species filtering
  1. WeatherPatternInsights.vue
// Display ML-derived insights about weather patterns
// - Most active weather conditions
// - Temperature preference ranges
// - Wind tolerance patterns
// - Precipitation impact
  1. WeatherActivityHeatmap.vue
// Enhanced heatmap showing:
// - Bird activity intensity
// - Weather condition overlay
// - Temperature gradient

5. Machine Learning Analysis

Pattern Detection

  • Identify optimal weather conditions for each species
  • Detect weather-based behavior patterns
  • Predict activity levels based on weather forecast

Correlation Analysis

  • Calculate correlation coefficients between:
    • Temperature and activity levels
    • Precipitation and activity
    • Wind speed and activity
    • Time of day and weather preferences

Insight Generation

  • Generate human-readable insights:
    • "Cardinals are most active during light rain"
    • "Blue Jays prefer temperatures between 60-70°F"
    • "Activity drops significantly in winds over 15mph"

Implementation Status

Phase 1: Data Infrastructure ✅

  1. ✅ Set up OpenWeatherMap API integration
  2. ✅ Created weather_data and detection_weather tables
  3. ✅ Implemented WeatherService for data collection
  4. ✅ Added configurable units (imperial/metric)

Phase 2: Basic Integration ✅

  1. ✅ Added weather data to detection records
  2. ✅ Created API endpoints:
    • /api/weather/current
    • /api/weather/patterns
    • /api/weather/correlation
  3. ✅ Implemented WeatherPatternInsights component
  4. ✅ Added test data for development

Phase 3: Advanced Analysis 🚧

  1. ✅ Implemented basic pattern detection
  2. ✅ Added insight generation for:
    • Temperature preferences
    • Wind speed impact
    • Weather condition correlation
  3. 🚧 TODO: Add more advanced ML analysis:
    • Time-based patterns
    • Seasonal trends
    • Multi-variable correlations

Phase 4: UI Enhancement 🚧

  1. ✅ Added current weather display
  2. ✅ Implemented weather insights view
  3. 🚧 TODO:
    • Add weather overlay to activity charts
    • Create correlation visualization
    • Add forecast-based predictions

Configuration

Current config.yml weather section:

weather:
  provider: "openweathermap"
  api_key: "bcae6d32eeb3bc3d95c3397111743430"
  location:
    lat: 30.1561588
    lon: -97.9716318
  units: "imperial"  # "imperial" for °F/mph or "metric" for °C/m/s
  update_interval: 300  # seconds
  historical_data: true

Next Steps

  1. Data Collection Improvements:

    • Add error recovery for API failures
    • Implement data backfilling for gaps
    • Add data validation and cleanup

  2. Analysis Enhancements:

    • Add seasonal pattern analysis
    • Implement weather-based activity predictions
    • Add multi-species correlation analysis

  3. UI Improvements:

    • Add weather overlay to existing charts
    • Create correlation visualization component
    • Add forecast-based notifications

  4. Testing:

    • Add unit tests for WeatherService
    • Add integration tests for API endpoints
    • Add E2E tests for weather components