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Data · dataset · 2023

Time Series Decomposition of Carbon Emission Data in Chinese Cities(2019-2022)

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Description

This dataset is the results of time series decomposition of CO2 emissions from 31 cities in China from 2019 to 2022. Raw data were generated at carbonmonitor-graced.com/. The method used is STL(Seasonal-Trend decomposition based on LOESS) and implemented in the R software (version 4.2.1).

This data is time accurate in months and include CO2 emissions from Total, Power and Industry sectors(Harbin and Xining only have data from Total sector due to missing data).

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Where it is published

Catalogue records · 1

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Inferred from text
Climate change science 70%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.1269112 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:3702enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (70%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
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