Identifying driving factors of urban land expansion using Google Earth Engine and machine-learning approaches in Mentougou District, China.

Sci Rep · 2022 · PMC9519550 · PMID 36171255

Europe PMC DOI

hedged sentences

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closest p · 0.0× alpha

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boldest claim

The sentences

highly significantp < 0.001actually significant

Model fitting comparison The fitting results of both MLR and RF showed that all variables appeared as highly significant ( p < 0.001) in the intermediate models.

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a decreasing trendno p-value reported

The distance to roads and distance to city center had a decreasing trend on urban land expansion.

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showed a trendno p-value reported

While the distance to railways showed a trend from decline to rise.

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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.