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Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure
(Elsevier B.V., 2017)
Prevailing climatic conditions and local topography can be classified as the most influential environmental factors that affect the spatial dispersion of pollutants emanating from industrial sources. In this study, the ...
Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments
(MDPI AG, 2018)
The goal of this study is to analyse the predictive performance of the random forest machine learning technique in comparison to commonly used hedonic models based on multiple regression for the prediction of apartment ...
Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging
(Springer-Verlag Wien, 2013)
The appearence of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of meteorological elements over large areas in the applied climatology. The objective of this ...
Machine Learning Techniques for Modelling Short Term Land-Use Change
(MDPI AG, 2017)
The representation of land use change (LUC) is often achieved by using data-driven methods that include machine learning (ML) techniques. The main objectives of this research study are to implement three ML techniques, ...