TL;DR
This paper classifies global human settlement patterns into agglomeration and dispersion, linking these spatial arrangements to environmental and socio-economic impacts, and proposes a model to simulate their growth.
Contribution
It provides the first global classification of human settlement spatial patterns and introduces a model that accurately simulates their growth and distribution.
Findings
Two main settlement classes: agglomeration and dispersion.
Model achieves an F1 score of 0.73 in matching observed patterns.
Settlement patterns correlate with CO2 emissions and land use impacts.
Abstract
Human settlements on Earth are scattered in a multitude of shapes, sizes and spatial arrangements. These patterns are often not random but a result of complex geographical, cultural, economic and historical processes that have profound human and ecological impacts. However, little is known about the global distribution of these patterns and the spatial forces that creates them. This study analyses human settlements from high-resolution satellite imagery and provides a global classification of spatial patterns. We find two emerging classes, namely agglomeration and dispersion. In the former, settlements are fewer than expected based on the predictions of scaling theory, while an unexpectedly high number of settlements characterizes the latter. Our global classification of spatial patterns correlates with some urban outcomes, such as the amount of CO2 emitted for transportation, providing…
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