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Assesing similarities between planned and observed land use maps: the Belgrade's municipalities case study
(Technical University of Ostrava, Czech Rebublic, 2013)
Techniques for evaluating similarities between categorical maps obtained by different spatial modeling techniques or representing similar space in different time instances are still developing. This paper reviews a current ...
The land consolidation in the countries CEE/CIS / Komasacija zemljišta u zemljama centralne i istočne Evrope i zajednice nezavisnih država
(Republički geodetski zavod Srbije, Beograd, 2002)
Each country in transition must find out its own solution for land fragmentation, thus taking already acquired experience and main common principles of the countries in Central and Eastern Europe (CEE) and of the Commonwealth ...
Peter Burrough i Rachael Mcdonnnell: Principi geografskih informacionih sistema - prostorni informacioni sistemi i geostatistika
(Republički geodetski zavod Srbije, Beograd, 2006)
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 ...
Horizontal accuracy of 1:50 000 digital topographic maps
(Survey Review, 2011)
The paper describes the methodology used for the assessment of the horizontal accuracy of digital topographic maps at a scale oft: 50 000 produced by the Serbian Military Geographic Institute and reviews the results. The ...
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, ...
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 ...
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 ...
ISO 19157 standard application in technological process of the production of digital topographic maps / Primena ISO 19157 standarda u tehnološkom procesu izrade digitalnih topografskih karata
(Savez inženjera i tehničara Srbije, Beograd, 2014)
Standardization in the field of geographical information related to the definition of the system of collection, preparation, storage, maintenance, presentation and sharing of geographic information. Quality information of ...