Interactive Models & Forecasting Tools
Explore our suite of probability models and forecasting tools designed to predict wildlife harvest patterns across Minnesota. All models are built using extensive historical data from the Minnesota Department of Natural Resources.
Available Models
๐ป Bear Harvest Forecasting Model
Status: In Development
Predicts bear harvest success and patterns using 26 years of historical data (2000-2026). The model incorporates seasonal trends, geographic factors, and environmental variables.
Key Features:
- Regional harvest predictions
- Success probability estimation
- Historical trend analysis
- Environmental factor weighting
๐ฆ Deer Harvest Prediction Model
Status: Planned
Comprehensive deer harvest forecasting model incorporating multiple seasons, hunting methods, and regional variations across Minnesota.
Planned Features:
- Archery, firearm, and muzzleloader season forecasts
- Regional population estimates
- Weather impact analysis
- Hunter success probability
๐ฆ Turkey Harvest Model
Status: Planned
Spring and fall turkey harvest prediction model focusing on population dynamics and harvest success rates.
Planned Features:
- Seasonal forecast comparison
- Regional population trends
- Breeding success indicators
- Harvest timing optimization
Model Development Process
Our models follow a rigorous development and validation process:
- Data Collection & Cleaning - Comprehensive historical data preparation
- Exploratory Analysis - Pattern identification and feature selection
- Model Development - Statistical modeling and machine learning
- Validation & Testing - Cross-validation and performance assessment
- Deployment - Interactive tools and real-time forecasting
Getting Started
Models are being actively developed and will be deployed as interactive tools. Check back regularly for updates, or follow our development blog for progress updates.
Note: All models are for research and educational purposes. Wildlife management decisions should incorporate multiple data sources and expert judgment.