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...

Full description

Bibliographic Details
Main Authors: Balsa-Barreiro, José, Morales, Alfredo J., Lois-González, Rubén C.
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:English
Published: Hindawi 2022
Online Access:https://hdl.handle.net/1721.1/143790
_version_ 1811095694536081408
author Balsa-Barreiro, José
Morales, Alfredo J.
Lois-González, Rubén C.
author2 Massachusetts Institute of Technology. Media Laboratory
author_facet Massachusetts Institute of Technology. Media Laboratory
Balsa-Barreiro, José
Morales, Alfredo J.
Lois-González, Rubén C.
author_sort Balsa-Barreiro, José
collection MIT
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.
first_indexed 2024-09-23T16:24:46Z
format Article
id mit-1721.1/143790
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T16:24:46Z
publishDate 2022
publisher Hindawi
record_format dspace
spelling mit-1721.1/1437902023-02-14T20:42:36Z Mapping Population Dynamics at Local Scales Using Spatial Networks Balsa-Barreiro, José Morales, Alfredo J. Lois-González, Rubén C. Massachusetts Institute of Technology. Media Laboratory 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. 2022-07-18T12:53:25Z 2022-07-18T12:53:25Z 2021-05-31 2022-01-09T08:00:15Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/143790 José Balsa-Barreiro, Alfredo J. Morales, and Rubén C. Lois-González, “Mapping Population Dynamics at Local Scales Using Spatial Networks,” Complexity, vol. 2021, Article ID 8632086, 14 pages, 2021. doi:10.1155/2021/8632086 en http://dx.doi.org/10.1155/2021/8632086 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Copyright © 2021 José Balsa-Barreiro et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf Hindawi Hindawi
spellingShingle Balsa-Barreiro, José
Morales, Alfredo J.
Lois-González, Rubén C.
Mapping Population Dynamics at Local Scales Using Spatial Networks
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 https://hdl.handle.net/1721.1/143790
work_keys_str_mv AT balsabarreirojose mappingpopulationdynamicsatlocalscalesusingspatialnetworks
AT moralesalfredoj mappingpopulationdynamicsatlocalscalesusingspatialnetworks
AT loisgonzalezrubenc mappingpopulationdynamicsatlocalscalesusingspatialnetworks