Created
March 13, 2016 13:06
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How to intersect polygons and points in R
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library(rgdal) | |
library(sp) | |
library(ggplot2) | |
#you have to supply your own points and polygon | |
postal_code<-read.csv('postalCode/postal_code.csv') | |
shape_rgdal <- readOGR("Planning_Area_Census2010", "Planning_Area_Census2010") | |
shape_rgdal<- spTransform(shape_rgdal , CRS("+proj=longlat +datum=WGS84")) | |
Neighborhoods <- fortify(shape_rgdal) | |
library(ggmap) | |
location <- c(103.851959, 1.290270) | |
location | |
map <- get_map(location, zoom=12,maptype='toner-lite') | |
p<-ggmap(map) | |
p + geom_polygon(aes(x=long, y=lat, group=group), fill='black', size=.2,color='green', data=Neighborhoods, alpha=1) + geom_point(aes(x=longitude,y=latitude),postal_code,size=0.01,alpha=0.1,color="yellow") | |
coordinates(postal_code)=c("longitude", "latitude") | |
crs.geo <- CRS("+proj=longlat +datum=WGS84") # geographical, datum WGS84 | |
proj4string(postal_code) <- crs.geo # define projection system of our data | |
#main function to join points with polygon | |
df<-over(postal_code, shape_rgdal) | |
head(df) | |
aa<-cbind(postal_code@data,df,postal_code@coords) | |
write.csv(aa,'postalCode_with_zone.csv') |
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