Result description
ParetoPick-R is an interactive exploration tool designed to support the analysis of Pareto-optimal spatial strategies for sustainable land and water management. It combines multi-objective optimisation and visual analytics to translate complex modelling outputs into accessible and usable insights.
The tool integrates processed datasets derived from hydrological, agronomic and socio-economic models and enables users to explore trade-offs between environmental, economic, and social objectives. Through interactive visualisation and participatory use in workshops, it supports transparent and model-based evaluation of alternative management scenarios.
By making trade-offs explicit and facilitating collaborative interpretation, ParetoPick-R strengthens decision-support processes and bridges the gap between advanced optimisation modelling and practical planning in regional and local contexts.
Addressing target audiences and expressing needs
- We are sharing our knowledge
- To raise awareness and possibly influence policy
Researchers who model the effectiveness of spatially targeted measures, such as N(S)WRM, Best Management Practices, Nature-Based Solutions and Agri-Environmental Practices, in their case studies. Those using a multi-objective optimisation framework (e.g., CoMOLA), can apply ParetoPick-R to visualise, interpret and communicate Pareto-optimal solutions and identify stakeholder-preferred options. We also aim to involve stakeholders in OPTAIN case studies, especially land and water managers and spatial planners, who are willing to test the app for planning measure implementation.
- Others/ No specific audience
- EU and Member State Policy-makers
- Research and Technology Organisations
R&D, Technology and Innovation aspects
ParetoPick-R is fully developed and operational as an interactive optimisation and visualisation tool building on the OPTAIN modelling framework. It has been tested in participatory contexts and applied in case studies. Next steps focus on maintenance, refinement, integration into future projects, and continued training and facilitation to support wider replication and long-term sustainability.
ParetoPick‑R handles large, complex Pareto datasets with many objectives, variables, and spatial units. Its visualisation and filtering features scale well with high-dimensional outputs. Independent of the optimisation model, it can be applied across diverse case studies, catchments, countries, or sectors.
ParetoPick‑R is open source on GitHub, with documentation and examples to support reuse and reproducibility. Being model-agnostic, any Pareto-optimal dataset can be imported if it follows the required format. This flexibility allows researchers to apply the workflow across varied projects and contexts.
ParetoPick‑R’s sustainability is supported by open-access licensing, transparent design, and long-term availability on GitHub and Zenodo. Built in the widely used R environment, it remains usable beyond OPTAIN. Its modular codebase enables future extensions, community input, and integration with other tools.
- Global
- Europe
