Visualize the Climate Scenario Alignment of a Financial
Portfolio
c(person(given = "Monika",
family = "Furdyna",
role = c("aut", "ctr", "cre"),
email = "monika.furdyna@gmail.com",
comment = c(ORCID = "0000-0002-3728-0646")),
person(given = "Mauro",
family = "Lepore",
role = c("aut", "ctr"),
email = "maurolepore@gmail.com",
comment = c(ORCID = "0000-0002-1986-7988")),
person(given = "Alex",
family = "Axthelm",
role = c("aut", "ctr"),
email = "alex@2degrees-investing.org",
comment = c(ORCID = "0000-0001-8579-8565")),
person(given = "2 Degrees Investing Initiative",
role = c("cph", "fnd"),
email = "contact@2degrees-investing.org"))
Create plots to visualize the alignment of a corporate
lending portfolio to climate change scenarios based on climate
indicators (production and emission intensities) across key climate
relevant sectors of the 'PACTA' methodology (Paris Agreement Capital
Transition Assessment;
<https://www.transitionmonitor.com/pacta-for-banks-2020/methodology-and-supporting-materials/>).
Financial institutions use 'PACTA' to study how their capital
allocation decisions align with climate change mitigation goals.
dplyr, forcats, ggplot2, ggrepel, glue, gridExtra, lubridate,
magrittr, r2dii.data, rlang, scales
covr, r2dii.analysis, r2dii.match, rmarkdown, spelling,
testthat (>= 3.0.0)
Monika Furdyna [aut, ctr, cre]
(<https://orcid.org/0000-0002-3728-0646>),
Mauro Lepore [aut, ctr] (<https://orcid.org/0000-0002-1986-7988>),
Alex Axthelm [aut, ctr] (<https://orcid.org/0000-0001-8579-8565>),
2 Degrees Investing Initiative [cph, fnd]

dplyr, forcats, ggplot2, ggrepel, glue, lubridate, magrittr,
r2dii.data, rlang, scales

Create plots to visualize the alignment of a corporate
lending financial portfolio to climate change scenarios based on
climate indicators (production and emission intensities) across key
climate relevant sectors of the 'PACTA' methodology (Paris Agreement
Capital Transition Assessment; <https://2degrees-investing.org/>).
Financial institutions use 'PACTA' to study how their capital
allocation decisions align with climate change mitigation goals.
dplyr, forcats, ggplot2, ggrepel, glue, magrittr, r2dii.data,
rlang, scales