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SC_Eurostats.R
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library(tidyverse)
library(camcorder)
library(patchwork)
library(showtext)
library(ggtext)
library(glue)
library(geomtextpath)
# Set fonts
font_add_google("Fira Sans Extra Condensed","cond")
font_add_google("Fira Sans","fira")
font_add_google("Raleway","ral")
font_add_google("Bitter","bit")
font_add_google("Jost","jost")
showtext_auto()
# Plot size
gg_record(
dir = file.path(tempdir(),"recording"),
device = "png",
width = 40,
height = 40,
units = "cm",
dpi = 300
)
# Data:
# https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Agri-environmental_indicator_-_cropping_patterns#Analysis_of_cropping_patterns_at_country_level
data <- read_delim('Data/Prec/data/assolement_eurostat.csv',delim=';')
dt20 <- data%>%
filter(year==2020)%>%
filter(area!="EU")%>%
mutate(total=arable+permanent_grassland+permanent_crops+kitchen_gardens)%>%
mutate(
per_arable = arable/total,
per_zgrass = permanent_grassland/total,
per_orch = permanent_crops/total,
per_kitch = kitchen_gardens/total
)%>%
select(area,per_arable,per_zgrass,per_orch,per_kitch)%>%
pivot_longer(!area, names_to = "crop", values_to = "ratio")
perm<-dt20%>%
filter(crop=="per_orch")%>%
arrange(-ratio)%>%
head(5)%>%
pull(area)
dt10 <- data%>%
filter(year==2010)%>%
filter(area!="EU")%>%
mutate(total=arable+permanent_grassland+permanent_crops+kitchen_gardens)%>%
mutate(
per_arable = arable/total,
per_zgrass = permanent_grassland/total,
per_orch = permanent_crops/total,
per_kitch = kitchen_gardens/total
)%>%
select(area,per_arable,per_zgrass,per_orch,per_kitch)%>%
pivot_longer(!area, names_to = "crop", values_to = "ratio")
eu <- data%>%
filter(year==2020)%>%
filter(area=="EU")%>%
mutate(total=arable+permanent_grassland+permanent_crops+kitchen_gardens)%>%
mutate(
per_arable = arable/total,
per_zgrass = permanent_grassland/total,
per_orch = permanent_crops/total,
per_kitch = kitchen_gardens/total
)%>%
select(area,per_arable,per_zgrass,per_orch,per_kitch)%>%
pivot_longer(!area, names_to = "crop", values_to = "ratio")
eu_10 <- data%>%
filter(year==2010)%>%
filter(area=="EU")%>%
mutate(total=arable+permanent_grassland+permanent_crops+kitchen_gardens)%>%
mutate(
per_arable = arable/total,
per_zgrass = permanent_grassland/total,
per_orch = permanent_crops/total,
per_kitch = kitchen_gardens/total
)%>%
select(area,per_arable,per_zgrass,per_orch,per_kitch)%>%
pivot_longer(!area, names_to = "crop", values_to = "ratio")
crop<-dt20%>%
filter(crop=="per_arable")%>%
arrange(ratio)%>%
mutate(id=row_number())%>%
select(area,id)
dt20_id <- dt20%>%
left_join(crop)%>%
group_by(area)%>%
arrange(crop)%>%
mutate(
xmax=cumsum(ratio),
xmin=xmax-ratio
)%>%
ungroup()
dt10_id <- dt10%>%
left_join(crop)%>%
group_by(area)%>%
arrange(crop)%>%
mutate(
xmax=cumsum(ratio),
xmin=xmax-ratio
)%>%
ungroup()
dt20_lab <- dt20_id %>%
group_by(area)%>%
summarize(id=mean(id))
dt10_lab <- dt10_id %>%
group_by(area)%>%
summarize(id=mean(id))
eu_id <- eu%>%
#left_join(crop)%>%
group_by(area)%>%
arrange(crop)%>%
mutate(
xmax=cumsum(ratio),
xmin=xmax-ratio
)%>%
ungroup()%>%
mutate(label="European Union")
eu_10_id <- eu_10%>%
#left_join(crop)%>%
group_by(area)%>%
arrange(crop)%>%
mutate(
xmax=cumsum(ratio),
xmin=xmax-ratio
)%>%
ungroup()%>%
mutate(label="European Union")
eu_lab<- eu_id%>%
filter(crop=="per_arable")%>%
mutate(label="European Union")
pal<-c(
"per_arable"="#FFD166",
"per_kitch"="#0075F2",
"per_orch"="#EF476F",
"per_zgrass"="#06D6A0"
)
ggplot()+
geom_rect(
dt20_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=0.6
)+
geom_rect(
eu_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=29-0.75,ymax=29+0.75,fill=crop)
)+
geom_textpath(
dt20_lab,
mapping=aes(y=id,x=0.5,label=area),
upright=TRUE,
size=7,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
dt20_lab,
mapping=aes(y=id,x=0.15,label=area),
upright=TRUE,
size=7,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
dt20_lab,
mapping=aes(y=id,x=0.85,label=area),
upright=TRUE,
size=7,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
eu_id,
mapping=aes(y=29,x=0.5,label=label),
upright=TRUE,fontface="bold",
size=9,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
eu_id,
mapping=aes(y=29,x=0.15,label=label),
upright=TRUE,fontface="bold",
size=9,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
eu_id,
mapping=aes(y=29,x=0.85,label=label),
upright=TRUE,fontface="bold",
size=9,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
coord_polar(start=pi+pi/2)+
scale_x_continuous(limits=c(0,2))+
scale_y_continuous(limits=c(-20,30))+
scale_fill_manual(values=pal)+
guides(fill="none")+
theme_void()
irl<-ggplot()+
geom_rect(
dt20_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=0.15
)+
geom_rect(
dt20_id%>%filter(area=="Ireland"),
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=1
)+
geom_rect(
eu_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=29-0.75,ymax=29+0.75,fill=crop),
alpha=0.15
)+
coord_polar(start=pi+pi/2)+
scale_x_continuous(limits=c(0,2))+
scale_y_continuous(limits=c(-20,30))+
scale_fill_manual(values=pal)+
guides(fill="none")+
theme_void()
orch<-ggplot()+
geom_rect(
dt20_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=0.15
)+
geom_rect(
dt20_id%>%filter(area%in%perm),
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=1
)+
geom_rect(
eu_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=29-0.75,ymax=29+0.75,fill=crop),
alpha=0.15
)+
coord_polar(start=pi+pi/2)+
scale_x_continuous(limits=c(0,2))+
scale_y_continuous(limits=c(-20,30))+
scale_fill_manual(values=pal)+
guides(fill="none")+
theme_void()
orch
malt<-ggplot()+
geom_rect(
dt20_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=0.15
)+
geom_rect(
dt20_id%>%filter(area=="Malta"),
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=1
)+
geom_rect(
eu_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=29-0.75,ymax=29+0.75,fill=crop),
alpha=0.15
)+
coord_polar(start=pi+pi/2)+
scale_x_continuous(limits=c(0,2))+
scale_y_continuous(limits=c(-20,30))+
scale_fill_manual(values=pal)+
guides(fill="none")+
theme_void()
cr<-ggplot()+
geom_rect(
dt20_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=0.15
)+
geom_rect(
dt20_id%>%filter(area%in%c("Finland","Denmark")),
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=1
)+
geom_rect(
eu_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=29-0.75,ymax=29+0.75,fill=crop),
alpha=0.15
)+
coord_polar(start=pi+pi/2)+
scale_x_continuous(limits=c(0,2))+
scale_y_continuous(limits=c(-20,30))+
scale_fill_manual(values=pal)+
guides(fill="none")+
theme_void()
cr
ggplot()+
geom_rect(
dt10_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=id-0.25,ymax=id+0.25,fill=crop),
alpha=0.6
)+
geom_rect(
eu_10_id,
mapping=aes(xmin=xmin,xmax=xmax,ymin=29-0.75,ymax=29+0.75,fill=crop)
)+
geom_textpath(
dt10_lab,
mapping=aes(y=id,x=0.5,label=area),
upright=TRUE,
size=7,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
dt10_lab,
mapping=aes(y=id,x=0.15,label=area),
upright=TRUE,
size=7,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
dt10_lab,
mapping=aes(y=id,x=0.85,label=area),
upright=TRUE,
size=7,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
eu_id,
mapping=aes(y=29,x=0.5,label=label),
upright=TRUE,fontface="bold",
size=9,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
eu_id,
mapping=aes(y=29,x=0.15,label=label),
upright=TRUE,fontface="bold",
size=9,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
geom_textpath(
eu_id,
mapping=aes(y=29,x=0.85,label=label),
upright=TRUE,fontface="bold",
size=9,family="jost",hjust=0.5,vjust=0.5,spacing=-200)+
coord_polar(start=pi+pi/2,direction=-1)+
scale_x_continuous(limits=c(0,2))+
scale_y_continuous(limits=c(-20,30))+
scale_fill_manual(values=pal)+
guides(fill="none")+
theme_void()