ArticleNature communications2024
Large disagreements in estimates of urban land across scales and their implications.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Patterns, drivers, and trends of urban cooling demand across global cities.Nature communications · 2026Article
- The High-resolution Urban Meteorology for Impacts Dataset for Atlanta Metropolitan Region (HUMID-Atlanta).Scientific data · 2026Article
- Global patterns of urban heat shaped by climate and morphology.Nature communications · 2026Article
- Europe's land take and the loss of nature and cropland to artificial surfaces.Nature communications · 2026Article
- A role for cities in sustaining Planetary Health.UCL open. Environment · 2026Article
- A fine-grained evaluation framework for urban land cover change based on feature monitoring with remotely sensed imagery.PloS one · 2026Article
- A global CORDEX-based dataset delineating urban areas and their surroundings to assess climate change in megacities.Scientific data · 2025Article
- United States multi-sector land use and land cover base maps to support human and Earth system models.Scientific data · 2025Article
- Predicting the impact of dynamic global urban expansion on urban soil organic carbon.Scientific reports · 2025Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improvements in high-resolution satellite remote sensing and computational advancements have sped up the development of global datasets that delineate urban land, crucial for understanding climate risks in our increasingly urbanizing world. Here, we analyze urban land cover patterns across spatiotemporal scales from several such current-generation products. While all the datasets show a rapidly urbanizing world, with global urban land nearly tripling between 1985 and 2015, there are substantial discrepancies in urban land area estimates among the products influenced by scale, differing urban definitions, and methodologies. We discuss the implications of these discrepancies for several use cases, including for monitoring urban climate hazards and for modeling urbanization-induced impacts on weather and climate from regional to global scales. Our results demonstrate the importance of choosing fit-for-purpose datasets for examining specific aspects of historical, present, and future urbanization with implications for sustainable development, resource allocation, and quantification of climate impacts.
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Registered trials
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.