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Analyzing multivariate geospatial data is a non-trivial task.
Geographical location is a variable in itself that might be
correlated with other fields in the data. When looking at
the variable distribution in a geographical region, users often
need to identify areas where the variable is overrepresented.
We call such local maxima ”hotspots” and present
Fervor: a hotspot explorer. Fervor visualizes hotspots as a
continuous heat map and offers a range of tools to investigate
relationships within the underlying data. We adopted
and expanded the rank-by-feature framework  to quantify
the strength of relationships between the different fields
describing the data. In this paper, we use Fervor to investigate
traffic incident data in the state of Maryland.