The widespread popularity of geographic information systems (GIS)
has led to new insights in countless areas of application. It has
facilitated not only the collection and storage of geographic data,
but also the display of such data. Building on this progress by
using an integrated approach, Statistical Detection and Monitoring
of Geographic Clusters provides the statistical tools to identify
whether data on a given map deviates significantly from
expectations and to determine quickly whether new point patterns
are emerging over time. The book begins with a review of
statistical methods for cluster detection, organized according to
the different types of hypotheses and questions about clustering
that can be investigated. It then delineates methods that allow for
the quick detection of emergent geographic clusters. The book
delivers a cohesive presentation unlike that of most edited
volumes. Drawing on the authors' extensive work in the field, the
book delineates methods in such a way that they can be applied,
almost instantly, to an array of disciplines. The readily
applicable methods the book describes are useful for a multitude of
problems in a variety of fields, particularly disease surveillance
in the public health industry. Statistical Detection and Monitoring
of Geographic Clusters is an essential volume for your reference
shelf.
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