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library(dplyr) | |
library(sf) | |
library(sp) | |
library(RColorBrewer) | |
library(rmapshaper) | |
#### communities | |
cm <- st_read("CR/communities/Communities_CR.shp") | |
# st_crs(cm) <- p4s | |
cm<-st_transform(cm, 3005) | |
## converting sf to sp and then to df | |
cm <- as(cm, "Spatial") | |
cm.df <- as.data.frame(coordinates(cm)) | |
communities <- data.frame(id = cm$NAME, cm.df) %>% | |
filter(id != 'Kamloops') | |
names(communities) <- c("Name","Longitude", "Latitude") #more sensible column names | |
## Use for cities, but they're locations are odd | |
# communities <- data.frame(id = cm$PLACE, cm.df) %>% | |
# filter(id != 'Duncan', id != 'Richmond', id != 'Burnaby', id != 'New Westminster', id != 'Surrey') | |
# names(communities) <- c("Name","Longitude", "Latitude") #more sensible column names | |
#### load US | |
us <- st_read("CR/cb_2014_us_nation_5m/cb_2014_us_nation_5m.shp") | |
us_simp <- st_transform(us,3005) | |
us_simp <- ms_simplify(us_simp) | |
### Ocean | |
ocean50 <-st_read("CR/ne_10m_ocean/ne_10m_ocean.shp") | |
ocean <- ocean50 %>% | |
st_transform(3005) %>% | |
as("Spatial") | |
ocean <- fortify(ocean) | |
#### college regions | |
nc <- st_read("CR/CR_2012.shp") | |
cr_simp <- ms_simplify(nc) | |
# add projection | |
p4s <-"+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs" | |
st_crs(cr_simp) <- p4s | |
# BC Albers projection | |
cr_simp<-st_transform(cr_simp, 3005) | |
## converting sf to sp and then to df | |
plotmap <- as(cr_simp, "Spatial") | |
plotmapdf <- fortify(plotmap, region = "CR_NAME") %>% | |
mutate(VI = ifelse(id== 'Vancouver Island','Vancouver Island','other')) | |
us <- as(us_simp,"Spatial")%>% | |
fortify(region ="NAME" ) | |
#Get centroids of regions for labels | |
centroids.df <- as.data.frame(coordinates(plotmap)) | |
names(centroids.df) <- c("Longitude", "Latitude") #more sensible column names | |
idList <- plotmap@data$CR_NAME | |
places <- data.frame(id = idList, centroids.df) | |
## plotting chloropleth | |
pal <- c("#FED98E","grey50","#FFFFD4",'lightblue') | |
ggplot(data = plotmapdf, aes(x = long, y = lat, group = group,fill=VI)) + | |
geom_polygon(data = ocean, aes(long, lat, group = group,fill=hole),inherit.aes = FALSE) + | |
geom_polygon(alpha = 0.9) + | |
geom_path(colour = "grey50", size = 0.3) + | |
coord_fixed(xlim = c(1370571.8, 1003875.7), ylim = c(369045, 649045), ratio = 0.79) + | |
scale_fill_manual(values = rev(pal))+ | |
guides(fill=FALSE) + | |
geom_text(data = places,aes(label = id, x = Longitude, y = Latitude),size=3.5,color='red',inherit.aes = FALSE) + | |
geom_text(data = communities,aes(label = Name, x = Longitude, y = Latitude),size = 2.5,inherit.aes = FALSE) + | |
labs(title = "Vancouver Island \n College Region") + | |
theme_minimal() + | |
theme(axis.title = element_blank(), | |
axis.text = element_blank(), | |
panel.grid = element_blank(), | |
# legend.title = element_text(size = 14, face = "bold"), | |
# legend.text = element_text(size = 13), | |
# legend.position = c(0.15, 0.2), | |
text = element_text(family = "Verdana"), | |
plot.title = element_text(vjust=-13,hjust = .99,size = 12), | |
plot.margin = unit(c(5, 5, 5, 5), "mm")) |
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