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22_movement.R
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22_movement.R
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# #30DayMapChallenge
# Día 22: Movimiento
# Origen y destino de viajes en Santiago 7 AM
# Datos: http://www.dtpm.gob.cl/index.php/documentos/matrices-de-viaje
# Autora: Stephanie Orellana (@sporella)
library(tidyverse)
library(sf)
library(gganimate)
# Cargar y procesar datos -------------------------------------------------
viajes <-
read_csv2(
"https://raw.githubusercontent.com/sporella/nightingale/master/data/matriz_viajes.csv",
) %>%
select(1:4) %>%
mutate_if(is.character, str_to_title) %>%
mutate(hora = as.numeric(MediaHora)) %>%
select(-3) %>%
filter(hora == 25200)
comunas <-
read_sf("data/comunas_metropolitana.geojson") %>%
filter(Region == "Región Metropolitana de Santiago") %>%
mutate(Comuna = iconv(Comuna, from = 'UTF-8', to = 'ASCII//TRANSLIT')) %>%
select(Comuna)
centroides <- comunas %>%
st_centroid() %>%
mutate(
lon = st_coordinates(.)[, 1],
lat = st_coordinates(.)[, 2],
Comuna = iconv(Comuna, from = 'UTF-8', to = 'ASCII//TRANSLIT')
)
# Join --------------------------------------------------------------------
viajes_sp <- viajes %>%
left_join(centroides, by = c("ComunaSubida" = "Comuna")) %>%
left_join(
centroides,
by = c("ComunaBajada" = "Comuna"),
suffix = c("_Subida", "_Bajada")
) %>%
mutate(
lon_Bajada = ifelse(ComunaSubida == ComunaBajada, lon_Bajada + 1000, lon_Bajada),
lat_Bajada = ifelse(ComunaSubida == ComunaBajada, lat_Bajada + 1000, lat_Bajada)
) %>%
pivot_longer(-c(1:5, 8)) %>%
mutate(
time = ifelse(str_detect(name, "_Subida"), 60, 60*29),
id = paste0(ComunaSubida, "_", ComunaBajada, "_", hora),
name = str_replace(name, "_Subida|_Bajada", "")) %>%
pivot_wider(id_cols = c(id, time, hora, 1:5)) %>%
mutate(horatime = hora+time)
# Filtrar solo comunas presentes ------------------------------------------
cc <- c(unique(viajes_sp$ComunaSubida), unique(viajes_sp$ComunaBajada))
centroides2 <- centroides %>% filter(Comuna %in% cc)
# Límites para zoom -------------------------------------------------------
limx <- st_bbox(centroides2)[c(1, 3)] + c(-5000,+5000)
limy <- st_bbox(centroides2)[c(2, 4)] + c(-5000,+5000)
# Visualización -----------------------------------------------------------
# * Tema ------------------------------------------------------------------
theme_travel <- function(back_colour = "#420b41") {
theme(
panel.background = element_blank(),
plot.background = element_rect(fill = back_colour, colour = back_colour),
legend.background = element_blank(),
panel.grid = element_blank(),
legend.position = "none",
text = element_text(size = 8, colour = "grey60", face = "bold"),
plot.title.position = "plot",
plot.subtitle = element_text(size = 7, vjust = 5),
plot.caption.position = "plot",
axis.ticks = element_blank(),
axis.text = element_blank(),
axis.title = element_blank()
)
}
colores <- c("#88e875",
"#c86ee6",
"#3eb64a",
"#e660b8",
"#71b634",
"#8480ef",
"#cde663",
"#4691eb",
"#dac53d",
"#be7ecf",
"#92ac35",
"#ec5481",
"#5ee7a5",
"#ed634d",
"#4fd0da",
"#e2792c",
"#59b9e4",
"#dd9e37",
"#5ea0da",
"#b09c35",
"#9999dc",
"#73aa57",
"#e1a1df",
"#55ae70",
"#dd80a8",
"#72e7ce",
"#dd7d78",
"#47a88e",
"#be8147",
"#b8e59a",
"#e8a978",
"#96a863",
"#e3d687",
"#a39754")
names(colores) <- unique(viajes_sp$ComunaBajada)
p <- ggplot() +
geom_sf(
data = comunas,
fill = "transparent",
colour = "gold4",
size = 0.2
) +
geom_point(
data = viajes_sp,
aes(
x = lon,
y = lat,
colour = ComunaBajada,
group = id,
size = ViajeLaboralPromedio
),
show.legend = F
) +
geom_sf_text(
data = centroides2,
aes(label = Comuna,
colour = Comuna),
nudge_y = -1500,
size = 3,
show.legend = F
) +
scale_color_manual(values = colores) +
scale_size(range = c(0.1, 10)) +
labs(title = "VIAJES EN TRANSPORTE PÚBLICO", subtitle="7:00 AM\nSANTIAGO DE CHILE", caption = "@sporella") +
theme_travel(back_colour = "grey10") +
coord_sf(xlim = limx, ylim = limy) +
transition_time(horatime, range = c(25200, 27000)) +
shadow_wake(wake_length = 0.1, alpha = 0.1)
anim_save(
filename = "plots/22_viajes7am.gif",
nframes = 100,
fps = 10,
animation = p,
bg = "grey10",
width = 6,
height = 6,
units = "in",
res = 120
)