EE 508 Data Science for Conservation Decisions

Contents

  • About this course
  • Schedule
  • Getting started
  • Labs
    • 1. Spatial data processing and visualization
    • 2. Systematic conservation planning with Marxan
      • 2.1. Getting to know Marxan: the case of Tasmania
      • 2.2. Building a Marxan analysis from scratch
      • 2.3. Improving the plan: cost proxy and planning units
    • 3. Optimal policy targeting with predictive machine learning
    • 4. Quasi-experimental impact evaluation with matching
  • Tests
  • Project
EE 508 Data Science for Conservation Decisions
  • Labs
  • 2. Systematic conservation planning with Marxan
  • View page source

2. Systematic conservation planning with Marxan

  • 2.1. Getting to know Marxan: the case of Tasmania
    • 2.1.1. Learn how Marxan works
    • 2.1.2. Examine Marxan’s inputs
    • 2.1.3. Run Marxan from the Terminal
    • 2.1.4. Examine Marxan’s outputs
    • 2.1.5. Map selection frequencies (independent coding)
    • 2.1.6. Wrap up
    • 2.1.7. Appendix
  • 2.2. Building a Marxan analysis from scratch
    • 2.2.1. Prepare data, folder structure, and notebook
    • 2.2.2. Create the planning unit files
    • 2.2.3. Create the species (features) file
    • 2.2.4. Create the planning-unit × species file
    • 2.2.5. Create the boundary file
    • 2.2.6. Check your datasets
    • 2.2.7. Run Marxan
    • 2.2.8. Map selection frequencies
    • 2.2.9. Wrap up
  • 2.3. Improving the plan: cost proxy and planning units
    • 2.3.1. Include a cost proxy
    • 2.3.2. Change the planning unit
    • 2.3.3. Write up an executive summary
    • 2.3.4. Wrap up
    • 2.3.5. Did you like this exercise?
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