ClusterRadar: An interactive web-tool for the multi-method exploration of spatial clusters over time

Lee Mason, Blánaid Hicks and Jonas S Almeida

PLOS ONE, 2025, vol. 20, issue 5, 1-23

Abstract: Spatial cluster analysis is crucial for understanding localized patterns in geospatial data, with wide-ranging applications for scientific discovery and decision-making. However, the dynamic nature of spatial clusters and the diverse range of clustering methods available can make analysis and interpretation challenging. We introduce ClusterRadar, a web-based tool designed to streamline this process by uniquely prioritizing longitudinal analysis and multi-method comparison of spatial clusters. It empowers users to easily perform clustering with multiple methods, directly compare results, and visualize spatiotemporal patterns through a novel design of linked interactive visualizations. ClusterRadar aims to maximize utility to a broad user base by supporting various geospatial formats and executing entirely within the browser to ensure data privacy. ClusterRadar is available at https://episphere.github.io/ClusterRadar.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0322393

DOI: 10.1371/journal.pone.0322393

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