Dataset | Feature Groupings | Setting a Feasible Target | Solving the Robust Problem | Relaxing robustness to increase the target | Varying the confidence level | Comparison with a Non-Robust Solution | Computation time comparison

Data generating process | Model specification | Solving with standard 'prioritizr' | Solving with 'robust.prioritizr' | Why not just use the worst-case scenario? | Taking the most extreme climate scenario | Adding a buffer to the target | Taking the minimum value across scenarios | Tuning the level of robustness

Introduction | Motivation | Robust minimum set objective | Robust minimum shortfall objective | Conclusion | References