We propose a new method for detecting groups of anomalies in categorical datasets. Our approach is a generalization of the spatial scan statistic, a commonly used method for detecting clusters of increased counts in spatial data. We extend this framework to non-spatial datasets with discrete valued attributes, where the degree of anomalousness of each record depends on its attribute values and ...

Recently, Everitt and Bullmore [1999] proposed a mixture model for a test statistic for activation in fMRI data. The distribution of the statistic was divided into two components; one for nonactivated voxels and one for activated voxels. In this framework one can calculate a posterior probability for a voxel being activated, which provides a more natural basis for thresholding the statistic ima...

OBJECTIVE To analyze the spatial distribution of infant mortality and identify clusters with high risk of death in the first year of life. METHODS The Thiessen (Voronoi) polygon method was used to analyze spatial distribution of the infant mortality rate, calculated by municipality. The triennium 2006 - 2008 was used as a reference to estimate the average infant mortality rate, and the first ...

the globalization and urban development concepts are closely linked to each other. however, all cities around the world are not affected same by globalization, each one has its spatial and reciprocal international-local action. the international changes of economy, culture, and politics have huge effects on restructuring of cities around the world. the present study as a descriptive-analytical ...

introduction in 1950s, only 30% of the world's population lived in urban areas. by 2000, that proportion increasedup to 47%, and by 2050 the estimated number will be around 72%. urban sprawl, an undesirable type of urban growth, is one of the major concerns ofthe city planners and administrators. understanding urban patterns, dynamic processes, and their relationships is a primary objectiv...

Many empirical studies have assessed fine-scale spatial genetic structure (SGS), i.e. the nonrandom spatial distribution of genotypes, within plant populations using genetic markers and spatial autocorrelation techniques. These studies mostly provided qualitative descriptions of SGS, rendering quantitative comparisons among studies difficult. The theory of isolation by distance can predict the ...