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).
Links
Where it is published
- DOI doi.org/10.17632/zz72nstcj6.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/zz72nstcj6.1 | 18 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |