Technical documentation

  • 1. Introduction
  • 2. Scientific resources management portal
    • 2.1. User login and registration
    • 2.2. Map resources
    • 2.3. Scientific data
    • 2.4. Scientific models
    • 2.5. Literature resources
    • 2.6. Document resources
  • 3. Scientific resource management system backend
    • 3.1. Map management
    • 3.2. Data management
    • 3.3. Scientific computing model management
    • 3.4. Document management
    • 3.5. Literature management
    • 3.6. User rights management
  • 4. Geospatial data visualization system
    • 4.1. Home
    • 4.2. Data category introduction
  • 5. Scientific collaborative computing system
    • 5.1. Login to Jupyter Scientific Computing Platform
    • 5.2. Information description after login
    • 5.3. Runtime kernel description provided by the platform
  • 6. The future scenarios and optimization regulation of livestock system
    • 6.1. The typical Soums in Selenge River Basin
    • 6.2. Model operating environment description
    • 6.3. Example: Tumurbulag Soum simulation calculation
  • 7. Acknowledgment
Theme by the Executable Book Project

6. The future scenarios and optimization regulation of livestock systemΒΆ

Future animal husbandry scenario optimization is one of the project tasks. This section describe the role of the Jupyter computing environment in completing this task and how to use it. Take this as an example.

  • 6.1. The typical Soums in Selenge River Basin
  • 6.2. Model operating environment description
    • 6.2.1. File structure
    • 6.2.2. Model structure
    • 6.2.3. Spreadsheet Data Table Description
  • 6.3. Example: Tumurbulag Soum simulation calculation
    • 6.3.1. Data preparation and computation
    • 6.3.2. Livestock systems scenarios, 2022-2050
    • 6.3.3. Changes in stock ratio between historical and forecast periods
    • 6.3.4. Regression simulation of livestock systems

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5.3. Runtime kernel description provided by the platform

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6.1. The typical Soums in Selenge River Basin

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