geofacet

library(pragr)
library(CzechData)
#> Loading required package: sf
#> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE
#> CzechData package - clearing cache.
library(geofacet)
library(ggplot2)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(sf)

phamc0 <- CzechData::load_RUIAN_settlement("554782", "MOMC_P")
#> ℹ Downloading data.
#> ✔ Data unpacked.

mcds <- phamc0 %>% 
  mutate(area = st_area(geometry) %>% units::drop_units(),
         h = 1) %>% 
  st_set_geometry(NULL) %>% 
  select(code = kod, area, h)

d_age <- district_age_structure %>% 
  rename(code = KOD_ZUJ) %>% 
  filter(age != "Total") 

ggplot(d_age) +
  geom_col(aes(x = year, y = count, fill = age), position = "fill", width = 1) +
  facet_geo(~ code, grid = district_geofacet %>% 
              left_join(district_names %>% select(code, 
                                                  name_label = name_short)),
            label = "name_label") +
  theme_minimal(base_family = "Roboto", base_size = 9) +
  theme(text = element_text(colour = "grey90", face = "bold"), 
        plot.background = element_rect(fill = "grey10"),
        panel.grid = element_blank(), 
        axis.ticks = element_blank(),legend.key.height = unit(10, "pt"),
        panel.background = element_rect(fill = "grey10", colour = NA), 
        strip.text = element_text(colour = "grey90")) +
  scale_x_continuous(breaks = c(min(d_age$year), max(d_age$year)), 
                     labels = c("    2011", "19  "), 
                     name = "") +
  scale_fill_viridis_d(option = "E", direction = -1) +
  scale_y_continuous(labels = scales::label_percent(suffix = " %"), name = NULL)
#> Joining, by = "code"
#> Note: You provided a user-specified grid. If this is a generally-useful grid,
#> please consider submitting it to become a part of the geofacet package. You can
#> do this easily by calling: grid_submit(__grid_df_name__)

d_median <- district_age_median %>% 
  filter(sex == "Total") %>% 
  rename(code = KOD_ZUJ)

ggplot(d_median) +
  geom_line(aes(x = year, y = median_age), colour = "grey90") +
  facet_geo(~ code, grid = district_geofacet %>% 
              left_join(district_names %>% select(code, name_label = name_short)),
            label = "name_label") +
  theme_minimal(base_size = 9, base_family = "Roboto") +
  theme(text = element_text(colour = "grey90", face = "bold"), 
        plot.background = element_rect(fill = "grey10"),
        panel.grid = element_blank(), 
        axis.ticks = element_blank(),legend.key.height = unit(10, "pt"),
        panel.background = element_rect(fill = "grey20", colour = NA), 
        strip.text = element_text(colour = "grey90")) +
  scale_x_continuous(breaks = c(min(d_median$year), max(d_median$year)), 
                     labels = c("    2011", "19  "), 
                     name = "") +
  scale_y_continuous(limits = c(35, 45)) +
  # scale_colour_viridis_c(option = "magma",direction = -1, guide = "none") +
  labs(x = NULL, y = NULL)
#> Joining, by = "code"
#> Note: You provided a user-specified grid. If this is a generally-useful grid,
#> please consider submitting it to become a part of the geofacet package. You can
#> do this easily by calling: grid_submit(__grid_df_name__)