Statistical Detection and Surveillanceof Geographic Clusters
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...
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Methods to monitor geographic patterns have received growing interest in recent years. Using an integrated approach, Statistical Detection and Monitoring of Geographic Clusters provides a thorough review of methods for cluster detection, organized according to the different types of hypotheses that can be investigated using these techniques. The book presents various methods that allow for quick detection of emergent geographic clusters. It includes actual datasets and simplified examples to illustrate key concepts. The authors also discuss the surveillance of geographic patterns and describe applications using GeoSurveillance software, which is available for download on the web.
List of FiguresList of Tables1 Introduction and Overview2 Introductory Spatial Statistics: Description and Inference3 Global Statistics4 Local Statistics5 Tests for the Detection of Clustering, Including Scan Statistics6 Retrospective Detection of Changing Spatial Patterns7 Introduction to Statistical Process Control and Nonspatial Cumulative Sum Methods of Surveillance8 Spatial Surveillance and the Monitoring of Global Statistics9 Cusum Charts for Local Statistics and for the Simultaneous Monitoring of Many Regions10 More Approaches to the Statistical Surveillance of Geographic Clustering11 Summary: Associated Tests for Cluster Detection and SurveillanceReferencesAuthor IndexSubject Index
