  Spatial cluster analysis, the detection of localized patterns of similarity
in geospatial data, has a wide-range of applications for scientific discovery
and practical decision making. One way to detect spatial clusters is by using
local indicators of spatial association, such as Local Moran's I or Getis-Ord
Gi*. However, different indicators tend to produce substantially different
results due to their distinct operational characteristics. Choosing a suitable
method or comparing results from multiple methods is a complex task.
Furthermore, spatial clusters are dynamic and it is often useful to track their
evolution over time, which adds an additional layer of complexity. ClusterRadar
is a web-tool designed to address these analytical challenges. The tool allows
users to easily perform spatial clustering and analyze the results in an
interactive environment, uniquely prioritizing temporal analysis and the
comparison of multiple methods. The tool's interactive dashboard presents
several visualizations, each offering a distinct perspective of the temporal
and methodological aspects of the spatial clustering results. ClusterRadar has
several features designed to maximize its utility to a broad user-base,
including support for various geospatial formats, and a fully in-browser
execution environment to preserve the privacy of sensitive data. Feedback from
a varied set of researchers suggests ClusterRadar's potential for enhancing the
temporal analysis of spatial clusters.
