The paper deals with a significant globalization factor, migration of the population. We identify local extremes in the distribution of population flows. The target destination of the flows is the Czech Republic. The analyzed group is foreigners with a stay longer than 12 months. Source countries are compared with respect to the geographic distribution. They are analyzed clusters of destinations forming local extremes. Local extremes are identified by incidence and precedence matrixes. We are looking for ways of different lengths between destinations where the numbers of foreigners are growing or falling. Precedence matrixes show regional differences in the number of foreigners. We identify areas with small differences on a large area or areas with evenly distributed differences. The starting point is the country of origin of foreigners. Using precedents is a new method that identifies clusters of migration resources. They are not identified and compared the only destination with the maximum number of foreigners. We identified the significance of these destinations in the region. The use of precedence matrix allows us to find new relationships. They have not compared only real values. We Compared increases and decreases of values (foreigners) between source destinations. Mutual comparisons are done on virtual infrastructure. This infrastructure is generated using geographic coordinates and minimum distances between destinations. Mutual comparisons are done on virtual infrastructure. This infrastructure is generated using geographic coordinates and minimum distances between destinations.