Merge pull request #375 from 0UmfHxcvx5J7JoaOhFSs5mncnisTJJ6q/dev/sep…

…arate_historic_steel_shares

consolidate historic and scenario steel production mix; add lineplot of production shares

.buildlibrary

@@ -1,4 +1,4 @@
-ValidationKey: '218283264'
+ValidationKey: '218439650'
 AcceptedWarnings:
 - 'Warning: package ''.*'' was built under R version'
 - 'Warning: namespace ''.*'' is not available and has been replaced'

CITATION.cff

@@ -2,8 +2,8 @@ cff-version: 1.2.0
 message: If you use this software, please cite it using the metadata from this file.
 type: software
 title: 'remind2: The REMIND R package (2nd generation)'
-version: 1.114.6
-date-released: '2023-08-15'
+version: 1.115.0
+date-released: '2023-08-22'
 abstract: Contains the REMIND-specific routines for data and model output manipulation.
 authors:
 - family-names: Rodrigues

DESCRIPTION

@@ -1,8 +1,8 @@
 Type: Package
 Package: remind2
 Title: The REMIND R package (2nd generation)
-Version: 1.114.6
-Date: 2023-08-15
+Version: 1.115.0
+Date: 2023-08-22
 Authors@R: c(
     person("Renato", "Rodrigues", , "[email protected]", role = c("aut", "cre")),
     person("Lavinia", "Baumstark", role = "aut"),

README.md

@@ -1,6 +1,6 @@
 # The REMIND R package (2nd generation)
 
-R package **remind2**, version **1.114.6**
+R package **remind2**, version **1.115.0**
 
 [![CRAN status](https://www.r-pkg.org/badges/version/remind2)](https://cran.r-project.org/package=remind2)  [![R build status](https://github.com/pik-piam/remind2/workflows/check/badge.svg)](https://github.com/pik-piam/remind2/actions) [![codecov](https://codecov.io/gh/pik-piam/remind2/branch/master/graph/badge.svg)](https://app.codecov.io/gh/pik-piam/remind2) [![r-universe](https://pik-piam.r-universe.dev/badges/remind2)](https://pik-piam.r-universe.dev/builds)
 
@@ -49,7 +49,7 @@ In case of questions / problems please contact Renato Rodrigues <renato.rodrigue
 
 To cite package **remind2** in publications use:
 
-Rodrigues R, Baumstark L, Benke F, Dietrich J, Dirnaichner A, Führlich P, Giannousakis A, Hasse R, Hilaire J, Klein D, Koch J, Kowalczyk K, Levesque A, Malik A, Merfort A, Merfort L, Morena-Leiva S, Pehl M, Pietzcker R, Rauner S, Richters O, Rottoli M, Schötz C, Schreyer F, Siala K, Sörgel B, Spahr M, Strefler J, Verpoort P (2023). _remind2: The REMIND R package (2nd generation)_. R package version 1.114.6, <URL: https://github.com/pik-piam/remind2>.
+Rodrigues R, Baumstark L, Benke F, Dietrich J, Dirnaichner A, Führlich P, Giannousakis A, Hasse R, Hilaire J, Klein D, Koch J, Kowalczyk K, Levesque A, Malik A, Merfort A, Merfort L, Morena-Leiva S, Pehl M, Pietzcker R, Rauner S, Richters O, Rottoli M, Schötz C, Schreyer F, Siala K, Sörgel B, Spahr M, Strefler J, Verpoort P (2023). _remind2: The REMIND R package (2nd generation)_. R package version 1.115.0, <https://github.com/pik-piam/remind2>.
 
 A BibTeX entry for LaTeX users is
 
@@ -58,7 +58,7 @@ A BibTeX entry for LaTeX users is
   title = {remind2: The REMIND R package (2nd generation)},
   author = {Renato Rodrigues and Lavinia Baumstark and Falk Benke and Jan Philipp Dietrich and Alois Dirnaichner and Pascal Führlich and Anastasis Giannousakis and Robin Hasse and Jérome Hilaire and David Klein and Johannes Koch and Katarzyna Kowalczyk and Antoine Levesque and Aman Malik and Anne Merfort and Leon Merfort and Simón Morena-Leiva and Michaja Pehl and Robert Pietzcker and Sebastian Rauner and Oliver Richters and Marianna Rottoli and Christof Schötz and Felix Schreyer and Kais Siala and Björn Sörgel and Mike Spahr and Jessica Strefler and Philipp Verpoort},
   year = {2023},
-  note = {R package version 1.114.6},
+  note = {R package version 1.115.0},
   url = {https://github.com/pik-piam/remind2},
 }
 ```

inst/markdown/compareScenarios2/cs2_06_energy_services.Rmd

@@ -240,31 +240,50 @@ items <- c("Production|Industry|Steel|Primary",
 
 dPlot <- data %>%
   filter(variable %in% items) %>%
-  mutate(foo = shorten_legend(variable)) %>%
-  order.levels(foo = rev(shorten_legend(items)))
+  mutate(variable = shorten_legend(variable)) %>%
+  order.levels(variable = rev(shorten_legend(items)),
+               scenario = unique(c('historical', levels(data$scenario))))
 
 # Show at max 5 scenario rows by 7 region column plots
 for (regions in bin_distribute(getRegs(dPlot), 7)) {
-  for (scenarios in bin_distribute(getScenarios(dPlot), 5)) {
-    suppressWarnings(
+  for (scenarios in bin_distribute(setdiff(getScenarios(dPlot), 'historical'),
+                                   5)) {
+    suppressWarnings(  
       p <- ggplot_bar_remind_vts(
         data = dPlot %>%
           filter(scenario %in% scenarios,
                  region %in% regions),
-        mapping = aes(x = period, y = value, fill = foo),
+        mapping = aes(x = period, y = value, fill = variable),
         gaps = 0) +
         scale_fill_discrete(breaks = shorten_legend(items),
                             name = attr(shorten_legend(items), "front")) +
         # fix y-axis across regions (columns)
         geom_blank(
           data = dPlot %>%
-          filter(scenario %in% scenarios,
-                 region %in% regions) %>%
+            filter(scenario %in% scenarios,
+                   region %in% regions) %>%
             group_by(region, period, scenario) %>%
             summarise(value = sum(value), .groups = "drop_last") %>%
             mutate(value = max(value)) %>%
             add_remind_timesteps_columns(),
           mapping = aes(x = xpos, y = value)) +
+        geom_step(data = dPlot %>% 
+                    filter(region %in% regions,
+                           'historical' == scenario) %>% 
+                    complete(nesting(model, region, variable, unit, period, 
+                                     value),
+                             scenario = scenarios) %>% 
+                    filter('historical' != scenario) %>% 
+                    group_by(model, scenario, region, unit, period) %>% 
+                    arrange(model, scenario, region, unit, period,
+                            desc(variable)) %>% 
+                    mutate(value = cumsum(value)) %>% 
+                    ungroup(),
+                  mapping = aes(x = period, y = value, colour = 'historic',
+                                group = interaction(region, variable)),
+                  direction = 'vh') +
+        scale_colour_manual(values = c('historic' = 'black'),
+                            name = NULL) +
         facet_wrap(~ interaction(region, scenario, sep = " "),
                    nrow = length(scenarios), scales = "free_y") +
         labs(x = NULL, y = dPlot %>% pull(unit) %>% unique()) +
@@ -275,6 +294,31 @@ for (regions in bin_distribute(getRegs(dPlot), 7)) {
     cat("\n\n")
   }
 }
+
+p <- ggplot() +
+  geom_line(data = dPlot %>% 
+              filter(2100 >= period) %>% 
+              group_by(scenario, region, period) %>% 
+              mutate(value = value / sum(value),
+                     variable = paste(variable, 'Share')) %>% 
+              ungroup(),
+            mapping = aes(x = period, y = value, colour = scenario,
+                          linetype = variable)) +
+  scale_colour_manual(
+    values = c(gg_colour_hue(setdiff(levels(dPlot$scenario), 'historical')),
+               c('historical' = 'black')),
+    name = NULL) +
+  scale_linetype_discrete(name = NULL, 
+                          guide = guide_legend(nrow = 2)) +
+  scale_y_continuous(breaks = seq(0, 1, 0.2),
+                     minor_breaks = seq(0.1, 0.9, 0.2)) +
+  facet_wrap(~ region) +
+  labs(x = NULL, y = NULL) +
+  theme_minimal() +
+  theme(legend.position = 'bottom')
+
+plot(p)
+cat('\n\n')
 ```
 
 ### Subsector per-Capita Production