Spatial scan statistics are widely used for count data to detect geographical disease clusters of high or low incidence, mortality or prevalence and to evaluate their statistical significance. Some data are ordinal or continuous in nature, however, so that it is necessary to dichotomize the data to use a traditional scan statistic for count data. There is then a loss of information and the choi...

This paper presents the progress of the drafting of specifications regarding the design of the Territorial Intelligence Community System, a concept that emerged within the caENTI coordination research activities framework from the Catalyse method. After a presentation of the TICS global design we will present the research about specifications according to the TICS four axis: Integration of the ...

As a geographical cluster detection analysis tool, the spatial scan statistic has been developed for different types of data such as Bernoulli, Poisson, ordinal, exponential and normal. Another interesting data type is multinomial. For example, one may want to find clusters where the disease-type distribution is statistically significantly different from the rest of the study region when there ...

Kulldorff’s scan statistic[1] is a spatial scan statistics method for detecting and evaluating statistically-significant, spatial clusters (e.g. disease, crime, etc). The method and its software implementation – SaTScan – is used widely in an increasing number of applications including epidemiology and other research fields. Here, we abbreviate the method as SaTScan method. Many researchers hav...

Spatial scan statistics with Bernoulli and Poisson models are commonly used for geographical disease surveillance and cluster detection. These models, suitable for count data, were not designed for data with continuous outcomes. We propose a spatial scan statistic based on an exponential model to handle either uncensored or censored continuous survival data. The power and sensitivity of the dev...

Construing a collection of values of a sample statistic as a distribution is central to developing a coherent understanding of statistical inference. This paper discusses key developments that unfolded over three consecutive lessons in a classroom teaching experiment designed to support a group of high school students in developing such a construal. Instruction began by engaging students in act...

The G statistic and its local version have been used extensively in spatial data analysis. The paper proves the asymptotic normality of the G statistic. Theorems in this paper imply the regular permutation test for the G statistic is valid.