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Spring-Block Model Reveals Region-Like Structures

A mechanical spring-block model is used for realizing an objective space partition of settlements from a geographic territory in region-like structures. The method is based on the relaxation-dynamics of the spring-block system and reveals in a hierarchical manner region-like entities at different sp...

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Detalles Bibliográficos
Autores principales: Máté, Gabriell, Néda, Zoltán, Benedek, József
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3035644/
https://www.ncbi.nlm.nih.gov/pubmed/21346819
http://dx.doi.org/10.1371/journal.pone.0016518
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author Máté, Gabriell
Néda, Zoltán
Benedek, József
author_facet Máté, Gabriell
Néda, Zoltán
Benedek, József
author_sort Máté, Gabriell
collection PubMed
description A mechanical spring-block model is used for realizing an objective space partition of settlements from a geographic territory in region-like structures. The method is based on the relaxation-dynamics of the spring-block system and reveals in a hierarchical manner region-like entities at different spatial scales. It takes into account in an elegant manner both the spatiality of the elements and the connectivity relations among them. Spatiality is taken into account by using the geographic coordinates of the settlements, and by detecting the neighbors with the help of a Delaunay triangulation. Connectivity between neighboring settlements are quantified using a Pearson-like correlation for the relative variation of a relevant socio-economic parameter (population size, GDP, tax payed per inhabitant, etc.). The method is implemented in an interactive JAVA application and it is applied with success for an artificially generated society and for the case of USA, Hungary and Transylvania.
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spelling pubmed-30356442011-02-23 Spring-Block Model Reveals Region-Like Structures Máté, Gabriell Néda, Zoltán Benedek, József PLoS One Research Article A mechanical spring-block model is used for realizing an objective space partition of settlements from a geographic territory in region-like structures. The method is based on the relaxation-dynamics of the spring-block system and reveals in a hierarchical manner region-like entities at different spatial scales. It takes into account in an elegant manner both the spatiality of the elements and the connectivity relations among them. Spatiality is taken into account by using the geographic coordinates of the settlements, and by detecting the neighbors with the help of a Delaunay triangulation. Connectivity between neighboring settlements are quantified using a Pearson-like correlation for the relative variation of a relevant socio-economic parameter (population size, GDP, tax payed per inhabitant, etc.). The method is implemented in an interactive JAVA application and it is applied with success for an artificially generated society and for the case of USA, Hungary and Transylvania. Public Library of Science 2011-02-08 /pmc/articles/PMC3035644/ /pubmed/21346819 http://dx.doi.org/10.1371/journal.pone.0016518 Text en Máté et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Máté, Gabriell
Néda, Zoltán
Benedek, József
Spring-Block Model Reveals Region-Like Structures
title Spring-Block Model Reveals Region-Like Structures
title_full Spring-Block Model Reveals Region-Like Structures
title_fullStr Spring-Block Model Reveals Region-Like Structures
title_full_unstemmed Spring-Block Model Reveals Region-Like Structures
title_short Spring-Block Model Reveals Region-Like Structures
title_sort spring-block model reveals region-like structures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3035644/
https://www.ncbi.nlm.nih.gov/pubmed/21346819
http://dx.doi.org/10.1371/journal.pone.0016518
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