<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Predict Carbon Emissions for UK SMEs</dc:title>
  <dc:title>R package carbonpredict version 2.0.1</dc:title>
  <dc:description>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 &amp; 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) &lt;doi:10.1111/jiec.70106&gt; "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) &lt;doi:10.1088/1748-9326/ae20ab&gt; "A Scalable Tool for Farm-Level Carbon Accounting: Evidence from UK Agriculture".</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: dplyr, ggplot2, progress, lmerTest, networkD3, htmltools,
htmlwidgets</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), mockery, png, grid</dc:relation>
  <dc:creator>Hamza Suleman &lt;Hamza.Suleman@lloydsbanking.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Hamza Suleman [aut, cre, cph],
  Alec Phillpotts [ctb, aut],
  Jasmine Wells [ctb, aut],
  David Leake [ctb, aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=carbonpredict/LICENSE)</dc:rights>
  <dc:date>2026-01-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=carbonpredict</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.carbonpredict</dc:identifier>
</oai_dc:dc>
