Possibilities use to selected methods of spatial data mining in demographic data analytics
2018
Kurowska, K., University of Warmia and Mazury in Olsztyn (Poland). Faculty of Geodesy, Geospatial and Civil Engineering | Kietlinska, E., University of Warmia and Mazury in Olsztyn (Poland). Faculty of Geodesy, Geospatial and Civil Engineering | Kryszk, H., University of Warmia and Mazury in Olsztyn (Poland). Faculty of Geodesy, Geospatial and Civil Engineering
The main purpose of data mining in private and public sector institutions is to process and analyse data with the aim of generating reliable information for decision-making. Decision-making performance is determined by the availability of the relevant data and the user’s ability to adapt that data for analytical purposes. The popularity of spatial statistical tools is on the rise owing to the complexity of the analysed factors, their variation over time and their correlations with the spatial structure. Popular models should be applied in demographic analyses for the needs of the spatial planning process. The availability of high-resolution data and accurate analytical tools enhances the value of spatial analyses, and the described models can be universally applied to support the decision-making process. The aim of this study was to present the applicability of selected spatial statistical models for analysing demographic data in the planning process and to identify the main advantages of these models.
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