Surveillance systems for monitoring the development of spatial patterns.
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.
Rogerson
P A
PA
Department of Geography, State University of New York at Buffalo 14261, USA.
D000293:Adolescent; D000328:Adult; D002051:Burkitt Lymphoma / Q000453:epidemiology*; D002648:Child; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D015233:Models, Statistical; D011159:Population Surveillance; D012621:Seasons; D014454:Uganda / Q000453:epidemiology