Evidence map›Paper›PMID 35963932›Full record

ArticleScientific data2022

Gridded land use data for the conterminous United States 1940-2015.

Caitlín Mc Shane, Johannes H Uhl, Stefan Leyk

Erratum issuedAbstract read
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Caitlín Mc ShaneDepartment of Geography, University of Colorado Boulder, 260 UCB, Boulder, CO, 80309, USA. mcshanec@colorado.edu.ORCID 0000-0001-7194-0575
Johannes H UhlCooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, 80309, USA. Johannes.Uhl@colorado.edu.ORCID 0000-0002-4861-5915
Stefan LeykDepartment of Geography, University of Colorado Boulder, 260 UCB, Boulder, CO, 80309, USA. Stefan.Leyk@colorado.edu.ORCID 0000-0001-9180-4853

Funding

University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
Health, Social, and Demographic Trends in Rural CommunitiesR21HD098717 · NICHD · UNIVERSITY OF COLORADO · PI HUNTER, LORI M. · 2019 to 2020
$418k
NICHD NIH HHS P2C HD066613NICHD NIH HHS R21 HD098717U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) P2CHD066613
6 · The paper itself

Abstract

Multiple aspects of our society are reflected in how we have transformed land through time. However, limited availability of historical-spatial data at fine granularity have hindered our ability to advance our understanding of the ways in which land was developed over the long-term. Using a proprietary, national housing and property database, which is a result of large-scale, industry-fuelled data harmonization efforts, we created publicly available sequences of gridded surfaces that describe built land use progression in the conterminous United States at fine spatial (i.e., 250 m × 250 m) and temporal resolution (i.e., 1 year - 5 years) between the years 1940 and 2015. There are six land use classes represented in the data product: agricultural, commercial, industrial, residential-owned, residential-income, and recreational facilities, as well as complimentary uncertainty layers informing the users about quantifiable components of data uncertainty. The datasets are part of the Historical Settlement Data Compilation for the U.S. (HISDAC-US) and enable the creation of new knowledge of long-term land use dynamics, opening novel avenues of inquiry across multiple fields of study.

Identifiers

PMID35963932
PMCPMC9376068

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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.