Evidence map›Paper›PMID 32435539›Full record

ArticlePeerJ2020

Assessment and simulation of land use and land cover change impacts on the land surface temperature of Chaoyang District in Beijing, China.

Muhammad Amir Siddique, Liu Dongyun, Pengli Li, Umair Rasool, Tauheed Ullah Khan, Tanzeel Javaid Aini Farooqi, Liwen Wang, Boqing Fan, Muhammad Awais Rasool

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Muhammad Amir SiddiqueSchool of Landscape Architecture, Beijing Forestry University, Beijing, China.
Liu DongyunSchool of Landscape Architecture, Beijing Forestry University, Beijing, China.
Pengli LiSchool of Landscape Architecture, Beijing Forestry University, Beijing, China.
Umair RasoolDepartment of Earth Sciences and Resources, China University of Geosciences, Beijing, China.
Tauheed Ullah KhanSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.
Tanzeel Javaid Aini FarooqiInstitute of Climate Change and Forestry Research, Beijing Forestry University, Beijing, China.
Liwen WangSchool of Landscape Architecture, Beijing Forestry University, Beijing, China.
Boqing FanSchool of Landscape Architecture, Beijing Forestry University, Beijing, China.
Muhammad Awais RasoolSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid urbanization is changing the existing patterns of land use land cover (LULC) globally, which is consequently increasing the land surface temperature (LST) in many regions. The present study is focused on estimating current and simulating future LULC and LST trends in the urban environment of Chaoyang District, Beijing. Past patterns of LULC and LST were identified through the maximum likelihood classification (MLC) method and multispectral Landsat satellite images during the 1990-2018 data period. The cellular automata (CA) and stochastic transition matrix of the Markov model were applied to simulate future (2025) LULC and LST changes, respectively, using their past patterns. The CA model was validated for the simulated and estimated LULC for 1990-2018, with an overall Kappa (K) value of 0.83, using validation modules in IDRISI software. Our results indicated that the cumulative changes in built-up to vegetation area were 74.61 km2 (16.08%) and 113.13 km2 (24.38%) from 1990 to 2018. The correlation coefficient of land use and land cover change (LULCC), including vegetation, water bodies and built-up area, had values of

Indexed as

Land surface temperatureLand use and land cover changeMarkov modelUrban dynamicsUrban green vegetationUrban planning

Identifiers

PMID32435539
PMCPMC7224232

What OpenQuestion holds

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LicenceCC BY
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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.