Evidence map›Paper›PMID 39468130›Full record

ArticleScientific reports2024

Towards large-scale analyses of settlement patterns in urbanizing landscapes-findings of first studies for India, Egypt, and China.

Thanh Thi Nguyen, Thomas Esch, Ellen Hoffmann, Julian Zeidler, Lorenz Gruber, Dennis Kaiser, Andreas Buerkert

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Thanh Thi NguyenOrganic Plant Production and Agroecosystems Research in the Tropics and Subtropics, Faculty of Organic Agricultural Sciences, University of Kassel, 37213, Witzenhausen, Germany. tropcrops@uni-kassel.de.
Thomas EschGerman Aerospace Center (DLR), German Remote Sensing Data Center, Land Surface Dynamics, Oberpfaffenhofen, 82234, Weßling, Germany.
Ellen HoffmannOrganic Plant Production and Agroecosystems Research in the Tropics and Subtropics, Faculty of Organic Agricultural Sciences, University of Kassel, 37213, Witzenhausen, Germany.
Julian ZeidlerGerman Aerospace Center (DLR), German Remote Sensing Data Center, Land Surface Dynamics, Oberpfaffenhofen, 82234, Weßling, Germany.
Lorenz GruberDepartment of Computer Science, University of Wuerzburg, 97074, Wuerzburg, Germany.
Dennis KaiserGerman Aerospace Center (DLR), German Remote Sensing Data Center, Land Surface Dynamics, Oberpfaffenhofen, 82234, Weßling, Germany.
Andreas BuerkertOrganic Plant Production and Agroecosystems Research in the Tropics and Subtropics, Faculty of Organic Agricultural Sciences, University of Kassel, 37213, Witzenhausen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improved ability to assess and categorize the spatial characteristics of settlement patterns is required for a deeper understanding of how urbanization is driving land use and land cover transformation and its effects. Two approaches to the globally available settlement maps of the World Settlement Footprint 3D support a detailed assessment of spatial characteristics of settlement patterns in rural to urban landscapes and across scales: graph-based spatial network analysis and elements of fractal theory. Based on first comprehensive tests for the Punjab (India), the Nile Delta (Egypt) and the North China Plain, the results of our study suggest that the presented methods allow a quantitative and qualitative characterization and comparison of settlement patterns between different regions of the world. The approache allows to generate standardized baseline data for arbitrary regions in the world to analyze structuring principles of settlement hierarchies (e.g., self-organized fractal geometries) and their dependence on - or interaction with - cultural, political, socioeconomic, or environmental conditions.

Indexed as

AutomationFractal analysisGraphRural-urban transformationSettlement pattern

Identifiers

PMID39468130
PMCPMC11519479

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.