Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Mapping Population Dynamics at Local Scales Using Spatial Networks

Mapping Population Dynamics at Local Scales Using Spatial Networks

Thumbnail Image
Download
Name

COMPLEXITY.2021.8632086.pdf

Size

6.8 MB

Format

Adobe PDF

Checksum (MD5)

fc5cbc925bf461f4b3d9db6c82f07bcb

Download all files submitted through automated deposit
D:\Indexer_Tools\Hindawi.com\Sword\WorkingFolder\COMPLEXITY.2021.8632086.zip (6.12 MB)
Author(s)
Balsa-Barreiro, José
•
Morales, Alfredo J.
•
Lois-González, Rubén C.
Date Issued
May 31, 2021
Publisher
Hindawi
Citation
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
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/143790
DOI of Published Version
https://doi.org/10.1155/2021/8632086
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.