Mapping Population Dynamics at Local Scales Using Spatial Networks

Nowadays, around half of the global population lives in urban areas. This rate is expected to increase up to two-thirds by the year 2050. Most studies analyze urban dynamics in wide geographic ranges, focusing mainly on cities. According to them, the global population is spatially distributed (and p...

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Main Authors: José Balsa-Barreiro, Alfredo J. Morales, Rubén C. Lois-González
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/8632086
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author José Balsa-Barreiro
Alfredo J. Morales
Rubén C. Lois-González
author_facet José Balsa-Barreiro
Alfredo J. Morales
Rubén C. Lois-González
author_sort José Balsa-Barreiro
collection DOAJ
description Nowadays, around half of the global population lives in urban areas. This rate is expected to increase up to two-thirds by the year 2050. Most studies analyze urban dynamics in wide geographic ranges, focusing mainly on cities. According to them, the global population is spatially distributed (and polarized) in two extremes: large urban agglomerations and rural deserts. However, this remark is excessively general and imprecise. For this reason, it remains essential to analyze these dynamics at other spatial scales. A close-up look in thinly populated regions shows how urban dynamics are also noticeable. In this paper, we analyze spatiotemporal patterns of population distribution in a predominantly rural area by applying a local-scale approach. These patterns are represented by using spatial networks with nodes representing the human settlements and links showing hierarchies between nodes. This case study is conducted in a small municipality located in northwestern Spain. It is a predominantly rural area with a very particular spatial pattern of population distribution.
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publishDate 2021-01-01
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spelling doaj-art-a0a7bb48bdb1493586ac0a5be7015e432025-02-03T06:08:08ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/86320868632086Mapping Population Dynamics at Local Scales Using Spatial NetworksJosé Balsa-Barreiro0Alfredo J. Morales1Rubén C. Lois-González2Human Dynamics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USAHuman Dynamics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USAHuman Dynamics, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USANowadays, around half of the global population lives in urban areas. This rate is expected to increase up to two-thirds by the year 2050. Most studies analyze urban dynamics in wide geographic ranges, focusing mainly on cities. According to them, the global population is spatially distributed (and polarized) in two extremes: large urban agglomerations and rural deserts. However, this remark is excessively general and imprecise. For this reason, it remains essential to analyze these dynamics at other spatial scales. A close-up look in thinly populated regions shows how urban dynamics are also noticeable. In this paper, we analyze spatiotemporal patterns of population distribution in a predominantly rural area by applying a local-scale approach. These patterns are represented by using spatial networks with nodes representing the human settlements and links showing hierarchies between nodes. This case study is conducted in a small municipality located in northwestern Spain. It is a predominantly rural area with a very particular spatial pattern of population distribution.http://dx.doi.org/10.1155/2021/8632086
spellingShingle José Balsa-Barreiro
Alfredo J. Morales
Rubén C. Lois-González
Mapping Population Dynamics at Local Scales Using Spatial Networks
Complexity
title Mapping Population Dynamics at Local Scales Using Spatial Networks
title_full Mapping Population Dynamics at Local Scales Using Spatial Networks
title_fullStr Mapping Population Dynamics at Local Scales Using Spatial Networks
title_full_unstemmed Mapping Population Dynamics at Local Scales Using Spatial Networks
title_short Mapping Population Dynamics at Local Scales Using Spatial Networks
title_sort mapping population dynamics at local scales using spatial networks
url http://dx.doi.org/10.1155/2021/8632086
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