Study of disparitiesbetween Russia's territories is mostly carried at the level of the subjects of the Russian Federation or cities with similar populations. Comparative analysis of settlements is obstructed by incomplete statistics, imperfection of tax and account rules and effect of shadow...

The application of geographically weighted regression (GWR) – a local spatial statistical technique used to test for spatial nonstationarity – has grown rapidly in the social, health and demographic sciences. GWR is a useful exploratory analytical tool that generates a set of...

Much work on residential segregation in urban areas has focused on aspatial indices of urban residential segregation, largely ignoring locational aspects of the degree of spatial separation of different ethnic groups. The adoption of measures of global and local spatial autocorrelation has...

Much has been written about ethnic residential segregation in urban areas, almost all of it deploying single-index numbers to measure the degree of segregation. These give very little detailed appreciation of the extent to which different ethnic groups live apart from each other, and where. This...

We investigate whether quantities such as the global spectral density or individual eigenvalues of financial covariance matrices can be best modelled by standard random matrix theory or rather by its generalisations displaying power-law tails. In order to generate individual eigenvalue...

The article presents the economic potential as a measure of the economic development of communes (‘gmina’) of the kujawsko-pomorskie province. The global pattern of the development was found by the use of the tools of spatial statistics. On the basis of a local spatial autocorrelation the...