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  • Getting Started
  • Data Handling
  • Desing Policy
  • Visualization
  • Model Fitting
  • Geographic Analyses
    • Doing more with spatial data
    • Using SD models to understand the differences between population measures at varying levels of geographic disagregation
  • Model Comparison
  • Sensitivity
  • Surrogating Functions
  • Testing
  • Realtime Data Incorporation
  • Model Development Workflow
  • Wrapper EMAWorkbench
  • Data Used in this Cookbook
  • Chapters to be Written
  • End Notes
PySD-Cookbook
  • Geographic Analyses
  • View page source

Geographic Analyses

  • Doing more with spatial data
    • Installation
    • Using SD to understand the SD Fever
    • Recap
    • Multi-regional SIR Model
  • Using SD models to understand the differences between population measures at varying levels of geographic disagregation
    • About this technique
    • Recipe Part A: Predict state-level values from national model fit
    • Recipe Part B: fit state-by-state models
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