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Modeling Urban Land Use Changes Using Support Vector Machines
(Blackwell Publishing Ltd, 2016)
Support Vector Machines (SVM) is a machine learning (ML) algorithm commonly applied to the classification of remotely sensing data and more recently for modeling land use changes. However, in most geospatial applications ...
Soil type classification and estimation of soil properties using support vector machines
(Geoderma, 2010)
Quantitative techniques for prediction and classification in soil survey are developing rapidly. The paper introduces application of Support Vector Machines in the estimate of values of soil properties and soil type ...
Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation
(Elsevier, 2015)
This article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the ...
Spatial pattern of recent rainfall trends in Serbia (1961-2009)
(Springer Verlag, 2014)
This paper examines a spatial pattern of annual, seasonal and monthly rainfall trends in Serbia. The study used data from 63 weather stations between the period of 1961-2009. The rainfall series was examined by applying ...
Trace element distribution in surface soils from a coal burning power production area: A case study from the largest power plant site in Serbia
(Catena, 2013)
The content of trace elements (As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb and Zn) in surface soils in the area surrounding the largest coal-fired power plant in Serbia was determined to assess the contribution of emissions to ...
Improved Loop-Flow Method for Hydraulic Analysis of Water Distribution Systems
(American Society of Civil Engineers (ASCE), 2018)
Different methods have been developed in the past to formulate and solve steady-state hydraulics of a water distribution system (WDS). The most widely used method nowadays is probably the global gradient algorithm (GGA). ...
Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia
(Elsevier, 2015)
This study examines the spatial pattern of relationships between annual, seasonal and monthly rainfall in Serbia, and the North Atlantic Oscillation (NAO) for the period of 1961-2009. The first correlation analysis between ...
Random Forest Spatial Interpolation
(MDPI, 2020)
For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques. Kriging with external ...
Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors
(Computers Environment and Urban Systems, 2011)
Niche analysis methods developed within the biogeography community are routinely used for species distribution modeling of wildlife and endangered species. So far, such techniques have not been used to explain distribution ...