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functions_quality_checks.R
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functions_quality_checks.R
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# gisco_id <- "IT_007010"
library("leaflet")
custom_ll_map_pop_grid <- function(gisco_id,
pop_grid_sf,
power = 2,
differentiate = TRUE,
nudge_y = 2000,
nudge_x = 500,
hr = FALSE,
use_leaflet = FALSE) {
lau_sf <- ll_get_lau_eu(gisco_id = gisco_id,
silent = TRUE)
centroid <- sf::st_centroid(x = lau_sf)
bbox <- sf::st_bbox(lau_sf)
desired_bbox <- ll_bbox(sf = lau_sf, ratio = "16:9")
intersect_sf <- ll_get_population_grid(
year = 2018,
match_sf = lau_sf,
match_name = stringr::str_c(gisco_id,
"lau_2020",
"pop_grid_2018",
"intersects",
sep = "-"),
join = sf::st_intersects,
population_grid_sf = pop_grid_sf %>%
dplyr::filter(stringr::str_detect(CNTR_ID,
stringr::str_extract(gisco_id, "[A-Z]{2}"))),
silent = TRUE
)
within_sf <- ll_get_population_grid(
year = 2018,
match_sf = lau_sf,
match_name = stringr::str_c(gisco_id,
"lau_2020",
"pop_grid_2018",
"within",
sep = "-"),
join = sf::st_within,
population_grid_sf = intersect_sf,
silent = TRUE
)
boundary_grid_sf <- dplyr::anti_join(intersect_sf,
within_sf %>% sf::st_drop_geometry(),
by = "GRD_ID")
pop_centroid <- ll_find_pop_centre(sf_location = lau_sf,
sf_population_grid = intersect_sf,
power = power)
pop_centroid_adjusted <- ll_find_pop_centre(sf_location = lau_sf,
sf_population_grid = intersect_sf,
power = power,
adjusted = TRUE)
if (use_leaflet == TRUE) {
if (differentiate == FALSE) {
leaflet() %>%
addTiles() %>% # Add default OpenStreetMap map tiles
addAwesomeMarkers(data = pop_centroid,
popup="Population-weighted centre",
icon = makeAwesomeIcon(icon = "home",
markerColor = "blue",
library="ion")) %>%
addAwesomeMarkers(data = centroid,
popup="Centroid",
icon = makeAwesomeIcon(icon = "home",
markerColor = "purple",
library="ion")) %>%
# addAwesomeMarkers(data = pop_centroid_adjusted,
# popup= "Adjusted population-weighted centre",
# icon = makeAwesomeIcon(icon = "home",
# markerColor = "green",
# library="ion")) %>%
addPolygons(data = lau_sf,
fillOpacity = 0) %>%
addPolygons(data = boundary_grid_sf,
label = ~TOT_P_2018,
weight = 1,
group = "Boundary grid cells") %>%
addPolygons(data = within_sf,
label = ~TOT_P_2018,
weight = 1,
group = "Within boundary grid cells")
} else {
leaflet() %>%
addTiles() %>% # Add default OpenStreetMap map tiles
addAwesomeMarkers(data = pop_centroid,
popup="Population-weighted centre",
icon = makeAwesomeIcon(icon = "home",
markerColor = "blue",
library="ion")) %>%
addAwesomeMarkers(data = centroid,
popup="Centroid",
icon = makeAwesomeIcon(icon = "home",
markerColor = "purple",
library="ion")) %>%
addAwesomeMarkers(data = pop_centroid_adjusted,
popup= "Adjusted population-weighted centre",
icon = makeAwesomeIcon(icon = "home",
markerColor = "green",
library="ion")) %>%
addPolygons(data = lau_sf,
fillOpacity = 0) %>%
addPolygons(data = boundary_grid_sf,
label = ~TOT_P_2018,
weight = 1,
group = "Boundary grid cells",
color = "purple",
fillColor = "purple") %>%
addPolygons(data = within_sf,
label = ~TOT_P_2018,
weight = 1,
group = "Within boundary grid cells") %>%
addLayersControl(
overlayGroups = c( "Boundary grid cells",
"Within boundary grid cells"),
options = layersControlOptions(collapsed = FALSE)
)
}
} else {
base_cartolight_gg <- ggplot() +
ggspatial::annotation_map_tile(type = "cartolight",
zoomin = 0,
cachedir = fs::path(ll_set_folder(), "ll_data")) +
geom_sf(data = sf::st_as_sfc(desired_bbox),
fill = NA,
color = NA) +
geom_sf(data = intersect_sf,
mapping = if (hr==TRUE) aes(colour = TOT_P_2018) else aes(fill = TOT_P_2018), alpha = 0.5) +
geom_sf(data = lau_sf,
colour = "darkred",
size = 2,
fill = NA,
alpha = 0.8) +
geom_sf(data = centroid,
colour = "darkred",
fill = "coral",
size = 5,
shape = 21,
alpha = 0.8) +
ggrepel::geom_label_repel(data = centroid,
mapping = aes(geometry = geometry,
label = "Centroid"),
nudge_y = nudge_y,
nudge_x = nudge_x, alpha = 0.8, seed = 1,
stat = "sf_coordinates") +
geom_sf(data = pop_centroid,
colour = "blue4",
fill = "cornflowerblue",
size = 5,
shape = 21,
alpha = 0.8) +
ggrepel::geom_label_repel(data = pop_centroid,
mapping = aes(geometry = geometry,
label = "Pop centre"),
nudge_y = nudge_y,
nudge_x = nudge_x, alpha = 0.8, seed = 1,
stat = "sf_coordinates") +
# geom_sf(data = pop_centroid_adjusted,
# colour = "darkgreen",
# fill = "green",
# size = 5,
# shape = 21,
# alpha = 0.8) +
# ggrepel::geom_label_repel(data = pop_centroid_adjusted,
# mapping = aes(geometry = geometry,
# label = "Pop centre adjusted"),
# nudge_y = nudge_y,
# nudge_x = nudge_x, alpha = 0.8, seed = 1,
# stat = "sf_coordinates") +
theme_void()
base_osm_gg <- ggplot() +
ggspatial::annotation_map_tile(type = "osm",
zoomin = 0,
cachedir = fs::path(ll_set_folder(), "ll_data")) +
geom_sf(data = sf::st_as_sfc(desired_bbox),
fill = NA,
color = NA) +
geom_sf(data = lau_sf,
colour = "darkred",
size = 2,
fill = NA,
alpha = 0.8) +
geom_sf(data = centroid,
colour = "darkred",
fill = "coral",
size = 5,
shape = 21,
alpha = 0.8) +
ggrepel::geom_label_repel(data = centroid,
mapping = aes(geometry = geometry,
label = "Centroid"),
nudge_y = nudge_y,
nudge_x = nudge_x, alpha = 0.8, seed = 1,
stat = "sf_coordinates") +
geom_sf(data = pop_centroid,
colour = "blue4",
fill = "cornflowerblue",
size = 5,
shape = 21,
alpha = 0.8) +
ggrepel::geom_label_repel(data = pop_centroid,
mapping = aes(geometry = geometry,
label = "Pop centre"),
nudge_y = nudge_y,
nudge_x = nudge_x, alpha = 0.8, seed = 1,
stat = "sf_coordinates") +
theme_void()
(base_cartolight_gg + base_osm_gg) +
patchwork::plot_annotation(title = paste(lau_sf$GISCO_ID, lau_sf$LAU_NAME, sep = " - "),
subtitle = "Administrative boundaries, population grid, and centroid",
caption = "Source:
© EuroGeographics for the administrative boundaries
Population grid information: Eurostat, JRC
Map tiles ©CARTO / ©OpenStreetMap
Base map data by OpenStreetMap, under ODbL. ©OpenStreetMap contributors")
}
}