Exploring the dynamics and trends of carbon emission spatiotemporal patterns in the Chengdu-Chongqing Economic Zone, China, from 2000 to 2020.

Sci Rep · 2024 · PMC11252400 · PMID 39013982

Europe PMC DOI

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closest p

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a reliable trendno p-value reported

A p value less than 0.05 indicated a reliable trend.

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an increasing trendno p-value reported

Quantitative analysis revealed that carbon emissions at the county and grid scales exhibited a significant positive global spatial correlation, and the overall correlation degree exhibited an increasing trend.

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highly significantno p-value reported

The p values are all less than 0.05, indicating that this spatial autocorrelation is highly significant and credible.

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.