ParetoPick-R: An interactive tool for boosting the interpretability of multi-objective optimisation outputs

This study presents ParetoPick-R, an R Shiny application for post-processing multi-objective optimisation (MOO) results in environmental modelling. Although MOO is widely used in environmental management, its multi-dimensional and abstract outputs are often hard to interpret and apply directly. ParetoPick-R addresses this challenge by enhancing the interpretability and usability of MOO results for decision support. The tool integrates three key strategies. First, interactive visualisation techniques enable users to explore synergies and trade-offs among objectives and link objective and decision spaces. Second, a clustering-based data reduction approach condenses large Pareto sets into representative subsets while preserving essential trade-off structures. Third, an Analytical Hierarchy Process facilitates the systematic incorporation of stakeholder preferences across objectives and decision variables. This paper describes the design and implementation of ParetoPick-R and demonstrates its functionality and procedural application through two distinct case studies.