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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 ...
Selection of the global geopotential model 2008 optimal degree for height anomalies determination
(Informatics, Geoinformatics and Remote Sensing Conference Proceedings, Sgem 2016, Vol II, 2016)
This paper presents determination of height anomalies by the means of Global Geopotential Model 2008 (EGM08). Height anomalies were determined at 1073 points over the territory of Serbia, with known discrete values of ...
Determination of discrete values of anomaly heights at territory of Montenegro
(Informatics, Geoinformatics and Remote Sensing Conference Proceedings, Sgem 2016, Vol II, 2016)
This paper presents the evaluation and comparison test of a series of global geopotential models (GGM) using available terrestrial data over the territory of Montenegro. Using the model of Gravity Observation Combination ...
Spatial patterns of recent demographic trends in Serbia (1961-2010)
(Ceska Geograficka Spolecnost, 2016)
This study considers the spatial and temporal dimensions of demographic trends in Serbia between 1961 and 2010. Using appropriate spatial autocorrelation statistics, spatial patterns of common demographic indicators including ...
Communication of Spatial Information in Environmental and Energy Solutions for Urban Spaces / Komunikacija prostornih informacija u ekološkim i energetskim rešenjima za gradske prostore
(Beograd: Institut za arhitekturu i urbanizam Srbije, 2016)