Spatio-Temporal Modeling as a Tool of the Decision-Making System Supporting the Policy of Effective Usage of EU Funds in Poland

Spatial data mining, space-temporal modelling and visual exploratory data analysis are tools that are useful not only for the analysis of multi-characteristics spatial data, but can also be used for the development of Spatial Decision Support Systems. Such system enables the optimisation of decision-making based on a thorough Spatial Multicriteria Decision Analysis. The authors of the present study have developed a set of multicriteria analyses with use of spatial data mining (SDM) techniques for the analysis of the spatial distribution of the allocation and spending of EU funds in Poland. The ten-year period of Poland’s membership in the EU enables not only the analysis of spatial differentiation of EU subsidies in different regions of the country, but also the dynamics of changes in this differentiation in time.

The proposed analytical system based on information technologies combines the possibilities offered by GIS packages and advanced statistical software, thus enabling to conduct highly complex analyses. One of the methods to carry out such analysis is the application of so-called data mining and data enrichment to detect patterns, rules and structures “hidden” in the database.