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Surveillance systems for monitoring the development of spatial patterns
Author(s) -
Rogerson Peter A.
Publication year - 1997
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19970930)16:18<2081::aid-sim638>3.0.co;2-w
Subject(s) - statistic , scan statistic , identification (biology) , computer science , data set , spatial analysis , data mining , statistics , artificial intelligence , mathematics , botany , biology
Statistical methods concerned with the identification of temporal patterns may be classified into those that examine retrospectively a set of observations, and those that constitute surveillance systems that monitor changes as new observations become available. A similar distinction applies to the identification of geographical patterns in spatial data. There has been a notable lack of attention given to the surveillance of spatial pattern. This paper concerns development of a cumulative sum statistic and procedure for the monitoring of spatial pattern, and its application to both simulated data and to data on Burkitt's lymphoma in Uganda. © 1997 by John Wiley & Sons, Ltd.