diff --git a/docs/articles/index.html b/docs/articles/index.html
index efd128b4..0046f6a6 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -24,12 +24,12 @@
-
+
Visualization
-
+
Reference
-
+
News
diff --git a/man/figures/Fig_WheatExportby2022.png b/man/figures/Fig_WheatExportby2022.png
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diff --git a/man/figures/Fig_WheatImportby2022.png b/man/figures/Fig_WheatImportby2022.png
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diff --git a/man/figures/Fig_WheatTrade2020.png b/man/figures/Fig_WheatTrade2020.png
index f46697f0..bb726f11 100644
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diff --git a/man/figures/Fig_WheatTrade2021.png b/man/figures/Fig_WheatTrade2021.png
index 0aa78528..b842a6a0 100644
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diff --git a/man/figures/Fig_WheatTrade2022_2021.png b/man/figures/Fig_WheatTrade2022_2021.png
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diff --git a/man/figures/Fig_WheatTradeWorldby2022.png b/man/figures/Fig_WheatTradeWorldby2022.png
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diff --git a/vignettes/vignette_news.Rmd b/vignettes/vignette_news.Rmd
index f30064d8..aad37e2b 100644
--- a/vignettes/vignette_news.Rmd
+++ b/vignettes/vignette_news.Rmd
@@ -15,6 +15,10 @@ knitr::opts_chunk$set(
)
```
+2023-2-11
+
+* Update trade related figures in [Cast Study](https://jgcri.github.io/gcamfaostat/articles/vignette_use_cases.html#faostat-raw-data-and-processing-output-updates)
+
2023-1-28
* The first version of gcamfaostat is still being processed/reviewed at JOSS
diff --git a/vignettes/vignette_use_cases.Rmd b/vignettes/vignette_use_cases.Rmd
index da6fa3f8..b52781ea 100644
--- a/vignettes/vignette_use_cases.Rmd
+++ b/vignettes/vignette_use_cases.Rmd
@@ -92,13 +92,20 @@ Since the 1970s, the number of countries in the world has increased due to the d
## Case study: wheat bilateral trade pattern changes
-* The world wheat trade was affected by the Russian-Ukraine war in 2021 (see Figures below).
-* In the same time, Canada, another major wheat supplier was hit by droughts and production plummeted.
-* However, the total trade did not change in 2021 (197 Mt) compared to 2020 (198 Mt).
-* Mainly because Australia, USA, and other regions supplied more to the world market.
+* The world wheat trade was affected by the Russian-Ukraine war in 2022 (see Figures below).
+* In 2021 vs. 2020, Russian wheat export already dropped by ~30% (+7% for Ukraine), but plummeted another 35% (-42% for Ukraine) in 2022.
+* In the same time, USA and Canada, major wheat supplier was hit by weather shocks and production plummeted.
+* Trade changes are certainly more complicated. The war was not the only driver, as Canada and US also had a drop in export. But Argentina, Australia, and even India supplied more to the world market.
+* Egypt took the largest hit. But the variation was not extreme for most major importers.
+See that smile curve in China.
+* The world trade took a hit (-6%), but the overall pattern didn't change drastically in just 1 year.
-{width=100%}
-{width=100%}
+
+
+{width=100%}
+{width=100%}
+{width=100%}
+{width=100%}
```{r, eval = FALSE}
devtools::load_all()
@@ -121,7 +128,7 @@ FAOSTAT_load_raw_data(DATASETCODE = "TM",
TM %>%
- filter(year %in% c(2020:2021),
+ filter(year %in% c(2020:2022),
item_code == 15, # Wheat
element %in% c("Export Quantity")) %>%
select(source = reporter_countries,
@@ -144,7 +151,7 @@ TM_Wheat %>%
TM_Wheat_1
# focus on key players
-TM_Wheat_1 %>% filter(year == 2020) %>% top_n(35, flow) %>%
+TM_Wheat_1 %>% filter(year == 2021) %>% top_n(35, flow) %>%
select(REG_ex, REG_im) %>% unlist %>%
unique() -> KeyPlayers
@@ -159,6 +166,7 @@ TM_Wheat_1 %>%
dat_circular %>% group_by(year) %>% summarise(flow = sum(flow))
library(circlize)
+library(ggplot2)
# A wrapper function
chord_wrapper <- function(.DF,
@@ -222,6 +230,13 @@ GridColor <- rand_color(length(KeyPlayers) + 1)
# Plot
+chord_wrapper(.DF = dat_circular %>% filter(year == 2022) %>% select(-year)%>% arrange(REG_ex, REG_im),
+ .GRIDCOLOR = GridColor,
+ .FigTitle = "Wheat trade, 2022",
+ .ORDER = c(KeyPlayers, "ROW"),
+ .SaveDir = "../man/figures",
+ .SaveName = "Fig_WheatTrade2022")
+
chord_wrapper(.DF = dat_circular %>% filter(year == 2021) %>% select(-year)%>% arrange(REG_ex, REG_im),
.GRIDCOLOR = GridColor,
.FigTitle = "Wheat trade, 2021",
@@ -237,6 +252,92 @@ chord_wrapper(.DF = dat_circular %>% filter(year == 2020) %>% select(-year) %>%
.SaveName = "Fig_WheatTrade2020")
+# Quickly adding time-series
+TM_Wheat_1 %>%
+ group_by(REG_ex, year) %>%
+ summarize(value = sum(flow)) %>% ungroup() %>%
+ filter(year == 2021) %>%arrange(value) %>% top_n(12, value) %>%
+ pull(REG_ex) -> KeyPlayers_exporter
+
+TM_Wheat_1 %>%
+ group_by(REG_im, year) %>%
+ summarize(value = sum(flow)) %>% ungroup() %>%
+ filter(year == 2021) %>%arrange(value) %>% top_n(12, value) %>%
+ pull(REG_im) -> KeyPlayers_importer
+
+TM_Wheat_1 %>%
+ group_by(year) %>%
+ summarize(value = sum(flow)) %>% ungroup() %>%
+ ggplot(aes(x = year, y = value)) +
+ #geom_hline(yintercept = 0, size = 0.4, color = "grey") +
+ geom_line(aes(x = year, y = value), color = "red", size = 1.2) +
+ geom_point(size = 1.4, color = "red") +
+ geom_smooth(linetype = 5, #method = "lm",
+ color = "black", size = 1) +
+ theme_bw() +
+ labs(y = "Million tonne", x = "Year",
+ title = "World wheat trade, 1990 - 2022",
+ subtitle = "Observations (red solid) & smooth (loess) line (black dotted) ",
+ caption = "Data: FAOSTAT (2022 data may subject to updates) \n Code: JGCRI/gcamfaostat") +
+ theme(text = element_text(size = 16),
+ panel.grid = element_line(linetype = 5),
+ axis.text = element_text(colour = "black", size = 16),
+ #axis.text.x = element_text(angle = 40, hjust = 1, vjust = 1),
+ strip.background = element_rect(fill = "grey90"),
+ legend.position = "none") -> p;p
+
+ggsave(file.path("../man/figures", "Fig_WheatTradeWorldby2022.png"), p, width = 10, height = 8)
+
+
+TM_Wheat_1 %>%
+ filter(REG_ex %in% KeyPlayers_exporter ) %>%
+ group_by(REG_ex, year) %>%
+ summarize(value = sum(flow)) %>% ungroup() %>%
+ ggplot(aes(x = year, y = value, group = REG_ex, color = REG_ex)) + facet_wrap(~REG_ex) +
+ geom_hline(yintercept = 0, size = 0.4, color = "grey") +
+ geom_line(aes(x = year, y = value, group = REG_ex, color = REG_ex), size = 1.2) +
+ geom_point(size = 1.4) +
+ geom_smooth(linetype = 5, #method = "lm",
+ color = "black", size = 1) +
+ theme_bw() +
+ labs(y = "Million tonne", x = "Year",
+ title = "Wheat export by region (top 12 exporter), by 2022",
+ subtitle = "Observations (colored solid) & smooth (loess) line (black dotted) ",
+ caption = "Data: FAOSTAT \n Code: JGCRI/gcamfaostat") +
+ theme(text = element_text(size = 16),
+ panel.grid = element_line(linetype = 5),
+ axis.text = element_text(colour = "black", size = 16),
+ axis.text.x = element_text(angle = 40, hjust = 1, vjust = 1),
+ strip.background = element_rect(fill = "grey90"),
+ legend.position = "none") -> p
+
+ggsave(file.path("../man/figures", "Fig_WheatExportby2022.png"), p, width = 10, height = 8)
+
+TM_Wheat_1 %>%
+ filter(REG_im %in% KeyPlayers_importer ) %>%
+ group_by(REG_im, year) %>%
+ summarize(value = sum(flow)) %>% ungroup() %>%
+ ggplot(aes(x = year, y = value, group = REG_im, color = REG_im)) + facet_wrap(~REG_im) +
+ geom_hline(yintercept = 0, size = 0.4, color = "grey") +
+ geom_line(aes(x = year, y = value, group = REG_im, color = REG_im), size = 1.2) +
+ geom_point(size = 1.4) +
+ geom_smooth(linetype = 5, #method = "lm",
+ color = "black", size = 1) +
+ theme_bw() +
+ labs(y = "Million tonne", x = "Year",
+ title = "Wheat import by region (top 12 importer), by 2022",
+ subtitle = "Observations (colored solid) & smooth (loess) line (black dotted) ",
+ caption = "Data: FAOSTAT \n Code: JGCRI/gcamfaostat") +
+ theme(text = element_text(size = 16),
+ panel.grid = element_line(linetype = 5),
+ axis.text = element_text(colour = "black", size = 16),
+ axis.text.x = element_text(angle = 40, hjust = 1, vjust = 1),
+ strip.background = element_rect(fill = "grey90"),
+ legend.position = "none") -> p
+
+ggsave(file.path("../man/figures", "Fig_WheatImportby2022.png"), p, width = 10, height = 8)
+
+
```
* Preview
diff --git a/vignettes/vignette_visualization.Rmd b/vignettes/vignette_visualization.Rmd
index 439ffef2..95d9c0b2 100644
--- a/vignettes/vignette_visualization.Rmd
+++ b/vignettes/vignette_visualization.Rmd
@@ -64,7 +64,7 @@ World supply utilization accounts for key commodities based on the 2013 – 2017
## Trade flows
-{width=100%}
+{width=100%}
***