Evidence map›Paper›PMID 37425228›Full record

ArticleRemote sensing2021

Global Harmonization of Urbanization Measures: Proceed with Care.

Deborah Balk, Stefan Leyk, Mark R Montgomery, Hasim Engin

Open access · goldAbstract read
In one paragraph

Article in Remote sensing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 4 institutions in 1 country.

Deborah BalkCUNY Institute for Demographic Research (CIDR), City University of New York, New York, NY 10010, USA.ORCID 0000-0002-9028-7898
Stefan LeykDepartment of Geography, University of Colorado Boulder, Boulder, CO 80309, USA.ORCID 0000-0001-9180-4853
Mark R MontgomeryDepartment of Economics, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-9612-6446
Hasim EnginCUNY Institute for Demographic Research (CIDR), City University of New York, New York, NY 10010, USA.
Baruch College · USCity University of New York · USPopulation Council · USUniversity of Colorado Boulder · US

Funding

University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
Health, Social, and Demographic Trends in Rural CommunitiesR21HD098717 · NICHD · UNIVERSITY OF COLORADO · PI HUNTER, LORI M. · 2019 to 2020
$418k
Integrating 30 Years of Settlement-Level Census Data for IndiaR03HD096193 · NICHD · POPULATION COUNCIL · PI MONTGOMERY, MARK RANDOLPH · 2018 to 2019
$145k
NICHD NIH HHS P2C HD066613NICHD NIH HHS R03 HD096193NICHD NIH HHS R21 HD098717NICHD NIH HHS R24 HD066613
6 · The paper itself

Abstract

By 2050, two-thirds of the world's population is expected to be living in cities and towns, a marked increase from today's level of 55 percent. If the general trend is unmistakable, efforts to measure it precisely have been beset with difficulties: the criteria defining urban areas, cities and towns differ from one country to the next and can also change over time for any given country. The past decade has seen great progress toward the long-awaited goal of scientifically comparable urbanization measures, thanks to the combined efforts of multiple disciplines. These efforts have been organized around what is termed the "statistical urbanization" concept, whereby urban areas are defined by population density, contiguity and total population size. Data derived from remote-sensing methods can now supply a variety of spatial proxies for urban areas defined in this way. However, it remains to be understood how such proxies complement, or depart from, meaningful country-specific alternatives. In this paper, we investigate finely resolved population census and satellite-derived data for the United States, Mexico and India, three countries with widely varying conceptions of urban places and long histories of debate and refinement of their national criteria. At the extremes of the urban-rural continuum, we find evidence of generally good agreement between the national and remote sensing-derived measures (albeit with variation by country), but identify significant disagreements in the middle ranges where today's urban policies are often focused.

Indexed as

built environmentdemographicseconomic geographyremote sensingrural–urban continuumspatialspatial demographyurban economicsurbanness

Identifiers

PMID37425228
PMCPMC10328085
OpenAlexW4200089244

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.