Modelování struktur v regionální analýze – segment dat Covid 19

Abstract

Regional sciences are based on specific research methods, taking into account the analyzed factors and regional breakdown. In most cases, the analyzes fail to take into account the links between the analyzed factors and the geopolitical location of the region. The work presents the possibilities of analysis using precedent modeling, through which analyzes can be performed with respect to geographical links. The aim of our research was to demonstrate the suitability of implementing a precedent model for predicting the development of an increase in Covid positive cases at the level of Czech municipalities. The precedent analysis enables the simplification of a part of the mathematical analytical apparatus into a binary form. The data are presented in a selected time interval limited by the closure of districts at the level of municipalities with extended powers (MEP). The research is based on the research question of whether it can be effectively evaluated using a precedent model of regional disparity. The basic method of research is precedent analysis and subsequent mathematical and statistical analysis, especially the determination of guidelines for the development of precedents at weekly intervals. The result of the presented part of the research is a summary of the MEP according to the potential of the Covid threat. The structure mapping in the presented model identified MEP groups, which are local extremes of the observed values. Thus, municipalities that are potential sources of Covid virus infection and municipalities that are potential sites endangered by the virus were identified.