Evidence map›Paper›PMID 32782324›Full record

ArticleScientific data2020

Combining expert and crowd-sourced training data to map urban form and functions for the continental US.

Matthias Demuzere, Steve Hankey, Gerald Mills, Wenwen Zhang, Tianjun Lu, Benjamin Bechtel

Abstract read
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

6 authors.

Matthias DemuzereDepartment of Geography, Ruhr-University Bochum, Bochum, Germany. matthias.demuzere@rub.de.ORCID http://orcid.org/0000-0003-3237-4077
Steve HankeySchool of Public and International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, USA.
Gerald MillsSchool of Geography, University College Dublin, Dublin, Ireland.
Wenwen ZhangSchool of Public and International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, USA.
Tianjun LuSchool of Public and International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, USA.
Benjamin BechtelDepartment of Geography, Ruhr-University Bochum, Bochum, Germany.ORCID http://orcid.org/0000-0001-8802-7934

Funding

EPA R835873
6 · The paper itself

Abstract

Although continental urban areas are relatively small, they are major drivers of environmental change at local, regional and global scales. Moreover, they are especially vulnerable to these changes owing to the concentration of population and their exposure to a range of hydro-meteorological hazards, emphasizing the need for spatially detailed information on urbanized landscapes. These data need to be consistent in content and scale and provide a holistic description of urban layouts to address different user needs. Here, we map the continental United States into Local Climate Zone (LCZ) types at a 100 m spatial resolution using expert and crowd-sourced information. There are 10 urban LCZ types, each associated with a set of relevant variables such that the map represents a valuable database of urban properties. These data are benchmarked against continental-wide existing and novel geographic databases on urban form. We anticipate the dataset provided here will be useful for researchers and practitioners to assess how the configuration, size, and shape of cities impact the important human and environmental outcomes.

Identifiers

PMID32782324
PMCPMC7421904

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LicenceCC BY
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Registered trials

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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.