Evidence map›Paper›PMID 31581470›Full record

ArticleInternational journal of environmental research and public health2019

Determinants of Urban Expansion and Spatial Heterogeneity in China.

Ming Li, Guojun Zhang, Ying Liu, Yongwang Cao, Chunshan Zhou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Ming LiGuangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou 510275, China. liming57@mail2.sysu.edu.cn.ORCID 0000-0001-5948-1054
Guojun ZhangSchool of Public Administration, Guangdong University of Finance and Economics, No.21 Luntou Road, Guangzhou 510320, China. guojunz@gdufe.edu.cn.
Ying LiuGuangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou 510275, China. liuy436@mail2.sysu.edu.cn.
Yongwang CaoGuangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou 510275, China. caoyw6@mail2.sysu.edu.cn.
Chunshan ZhouGuangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou 510275, China. zhoucs@mail.sysu.edu.cn.ORCID 0000-0002-0621-3563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is the world's largest developing country and its regions vary considerably. However, spatial heterogeneity in determinants of urban expansion in prefecture-level cities have not been identified. The present study explored the spatiotemporal characteristics of Chinese urban expansion and adopted a geographically weighted regression (GWR) method to determine this spatial heterogeneity. The results indicated that China experienced massive urban expansion during 1990-2015, with urban areas growing from 4.88 × 10

Indexed as

ChinaHumansSpatial RegressionSpatio-Temporal AnalysisUrbanizationChinadeterminantsGWRhot spot analysisspatial heterogeneityurban expansion

Identifiers

PMID31581470
PMCPMC6801600

What OpenQuestion holds

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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.