From 64b8b6872eaefad2a315fcb0a757a78917e38739 Mon Sep 17 00:00:00 2001 From: jacobvjk Date: Mon, 9 Dec 2024 14:53:01 +0100 Subject: [PATCH 1/2] update plot sizes --- .../plot_emission_intensity_cement_meta.png | Bin 36456 -> 28508 bytes .../plot_emission_intensity_steel_meta.png | Bin 32372 -> 26713 bytes ...lot_match_success_rate_abs_n_bank_type.png | Bin 89201 -> 50682 bytes ...atch_success_rate_abs_outstanding_meta.png | Bin 75654 -> 48738 bytes ...lot_match_success_rate_rel_n_bank_type.png | Bin 106034 -> 57409 bytes ...atch_success_rate_rel_outstanding_meta.png | Bin 74130 -> 50421 bytes man/figures/plot_sankey_sector.png | Bin 22923 -> 24211 bytes ...t_scatter_alignment_exposure_bank_type.png | Bin 57921 -> 53201 bytes man/figures/plot_tech_mix_automotive_meta.png | Bin 26860 -> 21108 bytes man/figures/plot_tech_mix_power_meta.png | Bin 31512 -> 25305 bytes ...ot_trajectory_automotive_electric_meta.png | Bin 51130 -> 35832 bytes .../plot_trajectory_coal_coal_meta.png | Bin 52177 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++-- vignettes/cookbook_running_the_analysis.Rmd | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/vignettes/cookbook_interpretation.Rmd b/vignettes/cookbook_interpretation.Rmd index 93bcc8e0..c3f56640 100644 --- a/vignettes/cookbook_interpretation.Rmd +++ b/vignettes/cookbook_interpretation.Rmd @@ -319,13 +319,13 @@ The net aggregate alignment metric can be disaggregated into build out and phase This example plot shows the loan book level build out and phaseout disaggregation for three bank types. The y-axis shows that all three bank types have loan books with exposures to misalgined companies in terms of phaseout technologies. This means that high carbon technology production capacity is not decreasing fast enough in the loan books to align with the selected scenario. The build out side (x-axis) of the plot is more varied, with two of the bank types being aligned in terms of exposure to build out technologies and one being misaligned. The color of the dots indicates net alignment (the sum of the build out and phase out values). Only one of the three bank types has a positive net aggregate alignment value, which is indicated by the green hue and its position above the diagonal line. This is a case where the alignment in build out technologies outweighs the misalignment in phase out technologies. -```{r scatter_bo_po_loan_book, echo=FALSE, fig.cap='Fig. 14: Scatter plot showing the buildout/phaseout disaggregation of the net aggregate alignment metric in the automotive sector by bank type at the loan book level. Data is based on simulated test loan books.', fig.align='center', out.width='80%'} +```{r scatter_bo_po_loan_book, echo=FALSE, fig.cap='Fig. 14: Scatter plot showing the buildout/phaseout disaggregation of the net aggregate alignment metric in the automotive sector by bank type at the loan book level. Data is based on simulated test loan books.', fig.align='center', out.width='100%'} knitr::include_graphics("../man/figures/plot_scatter_automotive_by_bank_type.png") ``` For a deeper dive into the company level disaggregation of the build out and phase out components, the following plot shows the same disaggregation for less significant financial institutions at the company level. The less significant institutions are the most misaligned dot in the previous loan book level chart. The plot shows that most of the companies the less significant institutions are exposed to in the automotive sector are firmly in the area of both misaligned build out and phase out technologies with only a few company exposures being closer to any positive alignment components. This means that the misalignment of the automotive sector for less significant financial institutions does not appear to be driven by few outliers, but seems to be rather consistent across exposures. -```{r scatter_bo_po_company, echo=FALSE, fig.cap='Fig. 15: Scatter plot showing the buildout/phaseout disaggregation of the net aggregate alignment metric in the automotive sector for less significant fiancial institutions at the company level. Data is based on simulated test loan books.', fig.align='center', out.width='80%'} +```{r scatter_bo_po_company, echo=FALSE, fig.cap='Fig. 15: Scatter plot showing the buildout/phaseout disaggregation of the net aggregate alignment metric in the automotive sector for less significant fiancial institutions at the company level. Data is based on simulated test loan books.', fig.align='center', out.width='100%'} knitr::include_graphics("../man/figures/plot_scatter_automotive_company_by_bank_type_less_significant.png") ``` diff --git a/vignettes/cookbook_running_the_analysis.Rmd b/vignettes/cookbook_running_the_analysis.Rmd index 63b802d8..5cb446fe 100644 --- a/vignettes/cookbook_running_the_analysis.Rmd +++ b/vignettes/cookbook_running_the_analysis.Rmd @@ -28,7 +28,7 @@ The PACTA for Supervisors analysis consists of four main steps: The following diagram illustrates the structure of the workflow: -```{r workflow_structure, echo=FALSE, fig.cap='Fig. 1: Structure of the Workflow', fig.align='center', out.width=200} +```{r workflow_structure, echo=FALSE, fig.cap='Fig. 1: Structure of the Workflow', fig.align='center', out.width='200px'} knitr::include_graphics("../man/figures/p4s_workflow_structure.png") ```