De‐Densification and Decoupling Trends in the Relationship Between Population and Built‐Up Areas: A <scp>GIS</scp> Model Beyond Administrative Boundaries (Spain, 1975–2020)

ABSTRACT Space–time demographic and built‐up trends are crucial in the European challenge of socio‐territorial cohesion and the Urban Agenda. This research aims to analyze the space–time patterns of population and built‐up areas in Spain between 1975 and 2020, without the constraints imposed by administrative boundaries. To this end, we used the freely available Global Human Settlement Layer to analyze 3D bins and emerging hot spots for population and built‐up areas. Our results showed that the space–time patterns for built‐up areas are more homogeneous than those for population, reducing built‐up cluster diversity to two cold‐spot types and four hotspot classes. In contrast, population dynamics exhibit greater variability, encompassing all eight possible hotspot categories and seven distinct cold‐spot types. The 37.46% of the surface area corresponds to both built‐up and population cold trends. Conversely, 11.91% of the surface area encompasses both hot spots coinciding with functional urban areas (FUA) and extending beyond their boundaries, where 74.93% of the population resides. Surrounding FUA areas exhibit decoupling trends, with dynamic built‐up patterns and static or declining populations. Furthermore, dynamic areas showed declining density as the effective density decreased by 26.87%. The method can be transferred to other countries, and the insightful results could assist policymakers.

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Journal
Transactions in GIS
Published
2026-03-13
DOI
https://doi.org/10.1111/tgis.70235
Primary Topic
Impact of Light on Environment and Health
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article
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article

De‐Densification and Decoupling Trends in the Relationship Between Population and Built‐Up Areas: A GIS Model Beyond Administrative Boundaries (Spain, 1975–2020)

Olga de Cos Guerra
Transactions in GIS
Impact of Light on Environment and Health
article

De‐Densification and Decoupling Trends in the Relationship Between Population and Built‐Up Areas: A GIS Model Beyond Administrative Boundaries (Spain, 1975–2020)

Olga de Cos Guerra
article en

Abstract

ABSTRACT Space–time demographic and built‐up trends are crucial in the European challenge of socio‐territorial cohesion and the Urban Agenda. This research aims to analyze the space–time patterns of population and built‐up areas in Spain between 1975 and 2020, without the constraints imposed by administrative boundaries. To this end, we used the freely available Global Human Settlement Layer to analyze 3D bins and emerging hot spots for population and built‐up areas. Our results showed that the space–time patterns for built‐up areas are more homogeneous than those for population, reducing built‐up cluster diversity to two cold‐spot types and four hotspot classes. In contrast, population dynamics exhibit greater variability, encompassing all eight possible hotspot categories and seven distinct cold‐spot types. The 37.46% of the surface area corresponds to both built‐up and population cold trends. Conversely, 11.91% of the surface area encompasses both hot spots coinciding with functional urban areas (FUA) and extending beyond their boundaries, where 74.93% of the population resides. Surrounding FUA areas exhibit decoupling trends, with dynamic built‐up patterns and static or declining populations. Furthermore, dynamic areas showed declining density as the effective density decreased by 26.87%. The method can be transferred to other countries, and the insightful results could assist policymakers.

Transactions in GISVol. 30(2)
Universidad de Cantabria (ES), Instituto de Investigación Marqués de Valdecilla (ES)
Sustainable cities and communities
Openalex Percentile: Top 33%
Impact of Light on Environment and Health
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De‐Densification and Decoupling Trends in the Relationship Between Population and Built‐Up Areas: A <scp>GIS</scp> Model Beyond Administrative Boundaries (Spain, 1975–2020) — Olga de Cos Guerra · Transactions in GIS (2026) | TGRS Research Map | TGRS