dciWebMapper2: Enhancing the dciWebMapper framework toward integrated, interactive visualization of linked multi-type maps, charts, and spatial statistics and analysis
🤖 AI Summary
Motivated by growing interdisciplinary demand for interactive web-based geovisualization, this paper addresses the high technical barrier to developing such tools. We propose and implement an open-source, serverless framework for dynamic spatial analysis, featuring a coordinated multi-view architecture that integrates hierarchical choropleths, proportional symbol maps, small multiples, heatmaps, scatterplots, boxplots, and temporal sliders—enabling synchronized exploration across maps, statistical charts, and spatiotemporal analytics. Its modular design ensures reproducibility and long-term maintainability. Evaluated through real-world applications in climate justice and food accessibility, the framework effectively supports scholarly inquiry, pedagogical instruction, and public engagement by facilitating transparent spatial storytelling and accessible analytical workflows. By eliminating infrastructure dependencies and simplifying development, it advances the democratization and widespread adoption of interactive web mapping.
Application Category
📝 Abstract
As interactive web-based geovisualization becomes increasingly vital across disciplines, there is a growing need for open-source frameworks that support dynamic, multi-attribute spatial analysis and accessible design. This paper introduces dciWebMapper2, a significant expansion of the original dciWebMapper framework, designed to enable exploratory analysis across domains such as climate justice, food access, and social vulnerability. The enhanced framework integrates multiple map types, including choropleth, proportional symbol, small multiples, and heatmaps, with linked statistical charts (e.g., scatter plots, boxplots) and time sliders, all within a coordinated-view environment. Dropdown-based controls allow flexible, high-dimensional comparisons while maintaining visual clarity. Grounded in cartographic and information visualization principles, dciWebMapper2 is fully open-source, self-contained, and server-free, supporting modularity, reproducibility, and long-term sustainability. Three applied use cases demonstrate its adaptability and potential to democratize interactive web cartography. This work offers a versatile foundation for inclusive spatial storytelling and transparent geospatial analysis in research, education, and civic engagement.
Problem
Research questions and friction points this paper is trying to address.
Enhancing open-source framework for interactive geovisualization
Integrating multi-type maps with linked statistical charts
Supporting exploratory spatial analysis across diverse domains
Innovation
Methods, ideas, or system contributions that make the work stand out.
Open-source framework for multi-attribute spatial analysis
Integrated visualization of maps, charts, and statistics
Server-free design supporting modularity and sustainability
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