Integrating Joy Plots into Thematic Cartography: Methodology and Applications for Bivariate Spatial Data Visualization

The paper introduces joy plots as an innovative yet underutilized method in thematic cartography for bivariate visualization of spatial data. Originally rooted in statistical graphics and popularized by the visual identity of Joy Division’s Unknown Pleasures album, joy plots consist of overlapping lines that convey quantitative variables along axes. By adapting this form to geospatial data, the method offers a compelling visual alternative for presenting spatial phenomena. The proposed workflow is based on an existing approach that was revised and improved by introducing a toolbox designed in ArcGIS Pro for smooth data preparation in GIS, and a script in R enabling bivariate spatial data visualization. The paper discusses the strengths and limitations of the method, including cognitive accessibility, design constraints, and interpretative challenges. This work contributes to ongoing discourse on cartographic innovation and geo-visualization by bridging the gap between analytical rigour and creative expression in representation of spatial data.