Statistical Detection and Surveillance of Geographic Clusters

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A01=Ikuho Yamada
A01=Peter Rogerson
adjustment
advanced spatial cluster surveillance
Author_Ikuho Yamada
Author_Peter Rogerson
average
Average Run Length
bonferroni
Bonferroni Adjustment
breast
Breast Cancer Mortality
cancer
Cancer Mortality
Case Control Data
Category=PBT
Changing Spatial Patternserns
Chi Square Distribution
Cluster Detection and Surveillance
CMF
Cumulative Distribution Function
Cumulative Sum
Cusum Chart
Cusum Methods
Detection of Clustering
disease mapping methods
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
False Alarm
Gaussian Kernel
Geographic Clusters
geographic data modeling
Global Statistics
hypothesis
Kernel Density Estimation
LBW Rate
length
Local Statistics
mortality
Multivariate Cusum
Multivariate Surveillance
Null Hypothesis
Prostate Cancer Deaths
Prostate Cancer Mortality
public health statistics
Random Labeling
run
Shewhart Chart
Space Time Interaction
spatial autocorrelation analysis
spatial epidemiology
spatial pattern detection
Spatial Scan Statistic
Spatial Statistics
Standardized Difference

Product details

  • ISBN 9781584889359
  • Weight: 612g
  • Dimensions: 156 x 234mm
  • Publication Date: 24 Dec 2008
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

Peter Rogerson, Ikuho Yamada

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