Applying Methods of Exploratory Data Analysis and Methods of Modeling the Unemployment Rate in Spatial Terms in Poland

The level of unemployment in a region can be a good illustration of its socio-economic development. The choice of the data modeling method, both in terms of spatial and time-spatial approaches depends on the results of exploratory data analysis. The aim of the research is to investigate which methods of GIS spatial analysis can be used for the cartographic presentation of the variability of the unemployment rate in Poland, broken down into provinces (voivodeships) and districts in terms of time and space. This goal will be achieved by performing an exploratory analysis of data on the unemployment rate in Poland for the period 2004-2022 in order to select the methods of cartographic presentation and transfer in spatial and time-spatial terms, along with selected cartographic methods in the GIS of the level of unemployment in Poland. This study, excluding data analysis based on statistical tests, focuses on examining the distribution of unemployment rates in Poland by districts and provinces from 2004 to 2022. This leads to the selection of optimal methods for the visualization and analysis of spatial data. The use of data analysis methods based on statistical tests and the examination of the distribution of data on the unemployment rate in Poland at county (district) and province (voivodeship) level for the period 2004-2022 will be performed in order to validate the results of the research. The selection of optimal methods of visualization and analysis of spatial data is intended to be a model for use in other areas of research.