Laksono, DanySlingsby, AidanJianu, RaduTominski, ChristianWaldner, ManuelaWang, Bei2024-05-172024-05-172024978-3-03868-251-6https://doi.org/10.2312/evs.20241062https://diglib.eg.org/handle/10.2312/evs20241062Integrating human intuition into data-driven decisions is challenging. Multicriteria Decision Analysis (MCDA) provides a structured framework for evaluating multiple criteria but often fails to capture the nuanced preferences of decision-makers. Geovisualisation tools can help understand data, but representing intricate relationships within MCDA models, especially with multivariate data, remains difficult. This study proposes a solution by combining MCDA and geovisualisation strengths using gridded-glyphmaps. This approach enables interactive exploration of multivariate geospatial data, allowing decision-makers to adjust parameter weights in real-time and dynamically assess decision alternatives. We demonstrate this approach's effectiveness through decarbonisation planning scenarios in Cambridge, UK. Our glyphs represent multiple variables' interplay, allowing for flexible criteria weight refinement. Discretising the data into grids reveals patterns and relationships missed by traditional representations like choropleth maps. Our approach demonstrates how gridded-glyphmap visualisation within an MCDA model fosters insights and transparency in decarbonisation planning scenarios.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing → Visualization techniques; Geographic visualization; Information systems → Decision support systems;Human centered computing → Visualization techniquesGeographic visualizationInformation systems → Decision support systems10.2312/evs.202410625 pages