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

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.

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Publication Details

Journal
PLoS ONE
Published
2025-05-27
DOI
https://doi.org/10.1371/journal.pone.0322393
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Jonas S. Almeida, Blánaid Hicks, Lee Mason
PLoS ONE
Data-Driven Disease Surveillance
article

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

Jonas S. Almeida, Blánaid Hicks, Lee Mason
article en

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.

PLoS ONEVol. 20(5)
Queen's University Belfast (GB), Department of Health and Human Services (US)
National Institutes of Health, National Cancer Institute
Peace, Justice and strong institutions
Openalex Percentile: Top 83%
Data-Driven Disease Surveillance
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