Matrix pixel and Kernel density analysis from the topographic maps

Complex networks with building density play a significant role in many fields of science, especially in urban sciences. That includes road networks, hydrological networks, computer networks and building changes into geo-space through some period. Using these networks we can solve the problems like t...

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Main Author: Živković Dragica
Format: Article
Language:English
Published: University of Priština - Faculty of Natural Science and Mathematics, Kosovska Mitrovica 2016-01-01
Series:The University Thought: Publication in Natural Sciences
Subjects:
Online Access:http://scindeks-clanci.ceon.rs/data/pdf/1450-7226/2016/1450-72261601039Z.pdf
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author Živković Dragica
author_facet Živković Dragica
author_sort Živković Dragica
collection DOAJ
description Complex networks with building density play a significant role in many fields of science, especially in urban sciences. That includes road networks, hydrological networks, computer networks and building changes into geo-space through some period. Using these networks we can solve the problems like the shortest path, the total capacity of networks, density population or traffic density in an urban or suburban area. In this paper for quantifying the complexity of road networks and a novel method for determining building density by using a matrix pixel analysis and Kernel distribution with a concrete example of the city of Belgrade. Both of them represent geo-spatial data. In this case we have analyzed road networks, building density, with the help of specially created software for analyzing pixels on the maps from 1971, including the properties of geo-spatial data we have analyzed from old topographic maps in ratio 1:25.000.
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spelling doaj.art-90b87b32f2e94ca38289fa672e18f30c2022-12-21T23:30:45ZengUniversity of Priština - Faculty of Natural Science and Mathematics, Kosovska MitrovicaThe University Thought: Publication in Natural Sciences1450-72262560-30942016-01-0161394310.5937/univtho6-104111450-72261601039ZMatrix pixel and Kernel density analysis from the topographic mapsŽivković Dragica0University of Belgrade, Faculty of Geography, Belgrade, SerbiaComplex networks with building density play a significant role in many fields of science, especially in urban sciences. That includes road networks, hydrological networks, computer networks and building changes into geo-space through some period. Using these networks we can solve the problems like the shortest path, the total capacity of networks, density population or traffic density in an urban or suburban area. In this paper for quantifying the complexity of road networks and a novel method for determining building density by using a matrix pixel analysis and Kernel distribution with a concrete example of the city of Belgrade. Both of them represent geo-spatial data. In this case we have analyzed road networks, building density, with the help of specially created software for analyzing pixels on the maps from 1971, including the properties of geo-spatial data we have analyzed from old topographic maps in ratio 1:25.000.http://scindeks-clanci.ceon.rs/data/pdf/1450-7226/2016/1450-72261601039Z.pdfmatrixpixelanalysisnetworksgeo-spatialBelgrade
spellingShingle Živković Dragica
Matrix pixel and Kernel density analysis from the topographic maps
The University Thought: Publication in Natural Sciences
matrix
pixel
analysis
networks
geo-spatial
Belgrade
title Matrix pixel and Kernel density analysis from the topographic maps
title_full Matrix pixel and Kernel density analysis from the topographic maps
title_fullStr Matrix pixel and Kernel density analysis from the topographic maps
title_full_unstemmed Matrix pixel and Kernel density analysis from the topographic maps
title_short Matrix pixel and Kernel density analysis from the topographic maps
title_sort matrix pixel and kernel density analysis from the topographic maps
topic matrix
pixel
analysis
networks
geo-spatial
Belgrade
url http://scindeks-clanci.ceon.rs/data/pdf/1450-7226/2016/1450-72261601039Z.pdf
work_keys_str_mv AT zivkovicdragica matrixpixelandkerneldensityanalysisfromthetopographicmaps