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coropleto_distritos.R
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coropleto_distritos.R
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require(ggplot2)
require(maptools)
require(rgdal)
require(spatialEco)
require(spatial)
require(sp)
require(gpclib)
require(mapproj)
library(grid)
library(gridExtra)
library(ggthemes)
# # # # # # # # # # # # # # # # # # # # # # # # #
# Leemos los datos
P4S.latlon <- CRS("+proj=utm +zone=30 +ellps=WGS84 +datum=WGS84 +units=m +no_defs")
distris.shp <- readShapePoly("SHP_ED50/DISTRITOS.shp",
verbose=TRUE, proj4string=P4S.latlon)
distris <- spTransform(distris.shp, CRS("+proj=longlat +datum=WGS84"))
distris.ord <- distris
distris.ord@data <- distris@data[order(distris@data$NOMBRE),]
#distris.ord@data$id <- distris.ord@data$CODDISTRIT
distris.ord@data$id <- 1:21
alquileres <- read.csv("alquileres.csv")
alquileres$id <- distris.ord@data$CODDISTRIT
#alquileres$id <- 1:21
distris.ord@data$subida <- alquileres$delta1317
distris.f <- fortify(distris.ord, region = "id")
datos <- merge(distris.f, alquileres, by="id", all.x=TRUE)
# # # # # # # # # # # # # # # # # # # # # # # # #
# A dibujar...
titleGraph <- "Incremento del precio del alquiler 2013-2017"
p1 <- ggplot(datos) +
theme_minimal()+ # no backgroundcolor
geom_polygon(aes(x=long, y=lat, group=group,fill=delta1317),
color="black", alpha=1, size=0.1)+
scale_fill_distiller(name="Incremento (%)",
palette="BrBG", direction=-1)+
labs(title=titleGraph, subtitle="Fuente: idealista", x="", y="") +
theme(axis.text=element_text(size=14),
title=element_text(size=14), legend.position="right")
coord_map()
p1
ggsave(p1, "incremento_precio_alquiler_2017.png")
# Tabla para diagrama de barras
tabla <- unique(datos[,c("distrito","delta1317")])
tabla$lab <- paste(format(round(tabla$delta1317,2), nsmall=2),"%",sep=" ")
levels <- tabla$distrito[order(tabla$delta1317, decreasing=FALSE)]
tabla$distrito <- factor(tabla$distrito, levels = levels)
p2 <- ggplot(tabla, aes(x=distrito, y=delta1317,
fill=delta1317, label=lab)) +
geom_col() +
theme_minimal()+ # no backgroundcolor
scale_fill_distiller(name="Incremento (%)",
palette="BrBG", direction=-1)+
geom_text(size = 3, hjust = -0.1) +
labs(title=titleGraph, subtitle="Fuente: idealista", x="", y="") +
coord_flip() +
scale_y_continuous(limits = c(0, 37)) +
theme(axis.text=element_text(size=14),
title=element_text(size=14), legend.position="none")
p2
ggsave(p2, "incremento_precio_alquiler_2017_tabla.png")
# # # # # # # # # # # # # # # # # # # # # # # # # # #
# Combinar ambos gráficos
p1 <- ggplot(datos) +
theme_minimal()+ # no backgroundcolor
geom_polygon(aes(x=long, y=lat, group=group,fill=delta1317),
color="black", alpha=1, size=0.1)+
scale_fill_distiller(name="Incremento (%)",
palette="BrBG", direction=-1)+
labs(x="", y="", caption="Fuente: idealista.com") +
ggthemes::theme_map() +
theme(legend.position=c(0.8,0.7),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.ticks = element_blank(),
rect = element_blank()) +
coord_map()
# Tabla para diagrama de barras
tabla <- unique(datos[,c("distrito","delta1317")])
tabla$lab <- paste(format(round(tabla$delta1317,2), nsmall=2),"%",sep=" ")
levels <- tabla$distrito[order(tabla$delta1317, decreasing=FALSE)]
tabla$distrito <- factor(tabla$distrito, levels = levels)
p2 <- ggplot(tabla, aes(x=distrito, y=delta1317,
fill=delta1317, label=lab)) +
geom_col() +
scale_fill_distiller(name="Incremento (%)",
palette="BrBG", direction=-1)+
geom_text(size = 3., hjust = -0.1) +
labs(title=titleGraph, x="", y="") +
coord_flip() +
scale_y_continuous(limits = c(0, 40)) +
theme_minimal()+ # no backgroundcolor
theme(axis.text.y=element_text(size=14),
plot.title=element_text(size=16),
plot.caption=element_text(size=8),
legend.position="none",
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
axis.text.x = element_blank())
p3 <- grid.arrange(p2, p1, ncol = 2)
ggsave(grid.arrange(p2, p1, ncol = 2), filename="incremento_precio_alquiler_2013-2017.png", device="png")
# # # # # # # # # # # # # # # # # # # # # # # # # # #
# Coropleto interactivo
library(leaflet)
distris@data$subida <- alquileres$subida[order(as.numeric(as.character(alquileres$id)))]
m <- leaflet(distris) %>%
setView(-3.7, 40.5, 11) %>%
## fitBounds(-3.9, -3.5, 40.3, 40.7) %>%
addProviderTiles("OpenStreetMap.Mapnik")
# Create a continuous palette function
pal <- colorNumeric(
palette = "Blues",
domain = alquileres$subida)
labels <- sprintf(
"<strong>%s</strong><br/>%g %",
distris$NOMBRE, distris$subida
) %>% lapply(htmltools::HTML)
library(htmlwidgets)
m %>% addPolygons(smoothFactor = 0,
fillOpacity = 0.9,
color = ~pal(subida),
weight=1,
highlight = highlightOptions(
weight = 1,
color = "#666",
dashArray = "",
fillOpacity = 1.0,
bringToFront = TRUE),
label = labels,
labelOptions = labelOptions(
style = list("font-weight" = "normal",
padding = "3px 8px"),
textsize = "15px",
direction = "auto")) %>%
addLegend(pal = pal, values = distris.ord$subida,
opacity = 1, title = "Incremento (%)",
position = "topleft") %>%
saveWidget(file="incremento_precio_alquiler_2017.html",
selfcontained=TRUE)