Below is so far I've done to convert .csv file into shapefile

Mydata <- read.csv("londonburglary201402.csv", header = T, sep = ",")
coordinates(Mydata) <- ~Longitude + Latitude
[1] "SpatialPointsDataFrame"
[1] "sp"

but I don't know how to write the shapefile with projection. I am trying to use rgdal packages to do.

  • Please edit into your question the output of class(Mydata), also mention the projection your data uses, and the library you are using to create a shape file. Make sure to take the tour which will provide some guidelines for Q&A in GIS SE
    – dof1985
    Aug 13 '16 at 14:04
  • I've edited now. Please let me know if the format now is okay. Thanks.
    – Wan Yu Lo
    Aug 13 '16 at 14:15

Easiest is probably with the raster package:

projection(Mydata) = "+init=espg:4326" # WGS84 coords
shapefile(Mydata, "Mydata.shp")

But with sp and rgdal:

proj4string(Mydata) = CRS("+init=epsg:4326")
writeOGR(Mydata, ".","Mydata", "ESRI Shapefile")

The "." is the current directory, and "Mydata" is the root name of the files that make up the shapefile.

  • How does your answer handle projection?
    – dof1985
    Aug 13 '16 at 14:05
  • Does now. check edit.
    – Spacedman
    Aug 13 '16 at 14:08
  • Thank you @ Spacedman. However it doesn't solve my prob. Below is the error appear Warning message: In .newCRS(value) : +init=espg:4326 is not a valid PROJ.4 CRS string
    – Wan Yu Lo
    Aug 13 '16 at 14:16
  • Why not? Why do you need to use rgdal? Okay, I'll add that solution too. But seriously, use the raster package it makes life easier.
    – Spacedman
    Aug 13 '16 at 14:17
  • Sorry. I am very new for R code. But I tried to use your code, it doesn't work. :(
    – Wan Yu Lo
    Aug 13 '16 at 14:19

I think this converts a CSV file to a shapefile using the sf package:



# Create lat-long data
# 21.4389° N, 158.0001° W
longitude <- rnorm(1000, mean = 0, sd = 1) + -158.0
latitude  <- rnorm(1000, mean = 0, sd = 1) +   21.4
timestamp <- as.POSIXct("2021-06-24 10:30:05", format="%Y-%m-%d %H:%M:%S", tz="UTC")
my.data <- data.frame(longitude, latitude, timestamp)
write.csv(my.data, "fake_lat_long_points_oahu.csv", row.names = FALSE, quote = FALSE)

# fake lat-long data imported from CSV file
oahu.lat.long <- read.csv("fake_lat_long_points_oahu.csv", header = TRUE, 
                           stringsAsFactors = FALSE, na.strings = "NA")


# Code in the following section based on:
# https://www.gisnote.com/2020/11/23/csv-to-shapefile-in-r/
# https://erinbecker.github.io/r-raster-vector-geospatial/10-vector-csv-to-shapefile-in-r/index.html

# Define coordinate reference system
prj4string <- "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"
my.projection <- st_crs(prj4string)

# Create sf object
oahu_lat_long_sf <- st_as_sf(oahu.lat.long, coords = c("longitude", "latitude"), crs = my.projection)


# Export shapefile
st_write(oahu_lat_long_sf, "C:/Users/mark_/Documents/ctmm/density_in_R/fake_oahu_lat_long_sf_June24_2021/oahu_lat_long_sf.shp", driver="ESRI Shapefile")

Screenshot after importing shapefile into QGIS and adding a background map:

enter image description here

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