Introduction | Walkthrough of Basic Usage | 1. Preparing and Validating the Input Data | Location Hierarchy (locations_sim) | Coverage Observations (observations_sim) | Observation Metadata (populations_sim) | Validation Failure Examples | 2. Fitting the Model | 3. Defining a Target for Predictions | 4. Predicting Coverage

Motivating Example | Parametrizing a Compartmental Model | Typical Application | Summary

Overview | Standards of Matching | Model World and Scenario | Model Implementation | Non-Identity Model Implementation | Higher Resolution Implementation | Comparison | Sampling