ArticleScientific data2019
The heterogeneity and change in the urban structure of metropolitan areas in the United States, 1990-2010.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States.International journal of applied earth observation and geoinformation : ITC journal · 2023Article
- Global 30 meters spatiotemporal 3D urban expansion dataset from 1990 to 2010.Scientific data · 2023Article
- Perinatal Health Outcomes Across Rural and Nonrural Counties Within a Single Health System Catchment.Women's health reports (New Rochelle, N.Y.) · 2023Article
- Cost-Related Medication Nonadherence and Patient Cost Responsibility for Rural and Urban Cancer Survivors.JCO oncology practice · 2022Article
- A building height dataset across China in 2017 estimated by the spatially-informed approach.Scientific data · 2022Article
- Creeping disaster along the U.S. coastline: Understanding exposure to sea level rise and hurricanes through historical development.PloS one · 2022Article
- Global Harmonization of Urbanization Measures: Proceed with Care.Remote sensing · 2021Article
- Combining expert and crowd-sourced training data to map urban form and functions for the continental US.Scientific data · 2020Article
- The heterogeneity and change in the urban structure of metropolitan areas in the United States, 1990-2010.Scientific data · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
While the population of the United States has been predominantly urban for nearly 100 years, periodic transformations of the concepts and measures that define urban places and population have taken place, complicating over-time comparisons. We compare and combine data series of officially-designated urban areas, 1990-2010, at the census block-level within Metropolitan Statistical Areas (MSAs) with a satellite-derived consistent series on built-up area from the Global Human Settlement Layer to create urban classes that characterize urban structure and provide estimates of land and population. We find considerable heterogeneity in urban form across MSAs, even among those of similar population size, indicating the inherent difficulties in urban definitions. Over time, we observe slightly declining population densities and increasing land and population in areas captured only by census definitions or low built-up densities, constrained by the geography of place. Nevertheless, deriving urban proxies from satellite-derived built-up areas is promising for future efforts to create spatio-temporally consistent measures for urban land to guide urban demographic change analysis.
Identifiers
What OpenQuestion holds
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.