Package: carbonpredict 2.0.1

Hamza Suleman

carbonpredict: Predict Carbon Emissions for UK SMEs

Predict Scope 1, 2 and 3 carbon emissions for UK Small and Medium-sized Enterprises (SMEs), using Standard Industrial Classification (SIC) codes and annual turnover data, as well as Scope 1 carbon emissions for UK farms. The 'carbonpredict' package provides single and batch prediction, plotting, and workflow tools for carbon accounting and reporting. The package utilises pre-trained models, leveraging rich classified transaction data to accurately predict Scope 1, 2 and 3 carbon emissions for UK SMEs as well as identifying emissions hotspots. It also provides Scope 1 carbon emissions predictions for UK farms of types: Cereals ex. rice, Dairy, Mixed farming, Sheep and goats, Cattle & buffaloes, Poultry, Animal production and Support for crop production. The methodology used to produce the estimates in this package is fully detailed in the following peer-reviewed publications: Phillpotts, A., Owen. A., Norman, J., Trendl, A., Gathergood, J., Jobst, Norbert., Leake, D. (2025) <doi:10.1111/jiec.70106> "Bridging the SME Reporting Gap: A New Model for Predicting Scope 1 and 2 Emissions" and Wells, J., Trendl, A., Owen, A., Barrett, J., Gridley, J., Jobst, N., Leake, D. (2025) <doi:10.1088/1748-9326/ae20ab> "A Scalable Tool for Farm-Level Carbon Accounting: Evidence from UK Agriculture".

Authors:Hamza Suleman [aut, cre, cph], Alec Phillpotts [ctb, aut], Jasmine Wells [ctb, aut], David Leake [ctb, aut]

carbonpredict_2.0.1.tar.gz
carbonpredict_2.0.1.zip(r-4.7)carbonpredict_2.0.1.zip(r-4.6)carbonpredict_2.0.1.zip(r-4.5)
carbonpredict_2.0.1.tgz(r-4.6-any)carbonpredict_2.0.1.tgz(r-4.5-any)
carbonpredict_2.0.1.tar.gz(r-4.7-any)carbonpredict_2.0.1.tar.gz(r-4.6-any)
carbonpredict_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
carbonpredict/json (API)

# Install 'carbonpredict' in R:
install.packages('carbonpredict', repos = c('https://david-leake.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/david-leake/carbonpredict/issues

On CRAN:

Conda:

4.30 score 1 stars 20 scripts 197 downloads 10 exports 70 dependencies

Last updated from:a143d36ac8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK460
source / vignettesOK174
linux-release-x86_64OK472
macos-release-arm64OK341
macos-oldrel-arm64OK285
windows-develOK371
windows-releaseOK361
windows-oldrelOK380
wasm-releaseOK126

Exports:batch_predict_emissionsbatch_sme_plotsfarms_scope1plot_scope3_emissionsplot_sme_emissionssme_emissions_profilesme_scope1sme_scope2sme_scope3sme_scope3_hotspots

Dependencies:base64encbootbslibcachemclicpp11crayondata.treedigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmerTestmagrittrMASSMatrixmemoisemimeminqanetworkD3nlmenloptrnumDerivpillarpkgconfigprettyunitsprogressR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownS7sassscalesstringitibbletidyselecttinytexutf8vctrsviridisLitewithrxfunyaml