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Data · dataset · 2024

urban carbon emissions 1992-2021 in China

Listed in Teesside University Research Data Repository

Description

This dataset was obtained by fitting a gradient boosted regression tree (GBRT).Before using the GBRT model, k-means clustering was used to classify China into two major categories, and then regression was fitted to the carbon emissions of the two categories of cities separately, where the overall fitted R2 for the first category of cities was 0.866, and the overall fitted accuracy for the second category of cities was 0.974.It is important to note that these values represent carbon emissions per square kilometre per city not CO2 emissions, and if you need to calculate CO2 emissions you need (*44/12*area).

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Catalogue records · 1

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Provenance · 1 source records, 6 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/zz72nstcj6.118 h agoJSON v1
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access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title