how to make a data frame into a simple features data frame?

Question

I've got a table with place references and x and y coordinates in a given coordinate reference system. I want to turn that into a simple features data frame. How can I create that?

I thought it might be:

data_frame(place = "London", 
           lat = 51.5074, lon = 0.1278, 
           epsg = 4326) %>%
  group_by(place) %>%
  mutate(feature = st_point(c(lon, lat)))

But that leads to an error:

Error in mutate_impl(.data, dots) : Column feature must be length 1 (the group size), not 2

This is probably pretty simple to do, I'm just not seeing it readily discussed in the documentation. Most spatial analysts seem to demand better data by default :).

I also thought to try:

data_frame(place = "London", 
           lat = 51.5074, lon = 0.1278, 
           epsg = 4326) %>%
  group_by(place) %>%
  do(with(., {
    p <- st_point(c(lon, lat))
    pcol <- st_as_sfc(p)
    st_as_sf(data_frame(place = place,
                        point = pcol),
             crs = epsg)
  }))

At the end of the pipe, I want a simple features data frame that I can plot and manipulate like any other.

Another rub with what I'm trying to do is that I've got a data frame with a column for EPSG. I need to create this simple features data frame for each place and combine that all together into a larger simple features data frame.

Answer 1

Your attempt and the accepted answers are unnecessarily complicated and terribly confusing. Just go with st_as_sf (which by the way also easily migrates all objects from the outdated sp class (SpatialPolygonsDataFrames and the like)):

df <- data.frame(place = "London", 
       lat = 51.5074, lon = 0.1278,
       population = 8500000) # just to add some value that is plotable
projcrs <- "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
df <- st_as_sf(x = df,                         
           coords = c("lon", "lat"),
           crs = projcrs)

And we are done, as easy as that.

Just to visualise it:

library(tmap)
data("World")    
tm_shape(World[World$iso_a3 == "GBR", ]) + tm_polygons("pop_est") + 
    tm_shape(df) + tm_bubbles("population")

Or with the new amazing geom_sf from ggplot2:

library(ggplot2)
ggplot(World) + geom_sf() + geom_sf(data = df, shape = 4, col = "red", size = 5)