I have the following map of Mexico. It shows all of its municipalities and around 400 weather stations.
I want to create a 10km buffer around each station and eventually, associate each municipality to a station that is located within each radius.
The map and the stations are stored on separate sf objects. I tired the following:
buffers <- st_buffer(stations, dist = 1)
I thought the dist
argument was set to kilometers, so I tried dist = 10
. Unfortunately, this returned HUGE buffers for each station. That's why I am using dist = 1
, but even these buffers are as big as a state! This question, suggests I transform my stations to Irish Grid, but I couldn't replicate the accepted answer. I am now wondering what unit the dist
argument is set to.
From the aforementioned question, I assume it's set to degrees. How can I set a 10km buffer around each station?
Additional info:
My CRS is set to 4326 on both objects (the Mexican map and the stations).
This is my stations
data:
> dput(head(stations))
structure(list(station_number = c(1004L, 1005L, 1008L, 1012L,
1017L, 1018L), station_alt = c(1925, 1844, 2323, 1589, 2172,
2053), month = c(9L, 9L, 9L, 9L, 9L, 9L), Mean_min = c(11.6,
12.75, 12.25, 13.9666666666667, 12.9, 12.6833333333333), Mean_max = c(26.9333333333333,
26.85, 24.0833333333333, 29.0333333333333, 24.8666666666667,
26.1333333333333), months_observed = c(5L, 5L, 5L, 5L, 5L, 5L
), geometry = structure(list(structure(c(-102.199, 22.001), class = c("XY",
"POINT", "sfg")), structure(c(-102.372, 21.781), class = c("XY",
"POINT", "sfg")), structure(c(-102.135, 22.203), class = c("XY",
"POINT", "sfg")), structure(c(-102.802, 21.794), class = c("XY",
"POINT", "sfg")), structure(c(-102.444, 22.233), class = c("XY",
"POINT", "sfg")), structure(c(-102.415, 22.141), class = c("XY",
"POINT", "sfg"))), class = c("sfc_POINT", "sfc"), precision = 0, bbox = structure(c(xmin = -102.802,
ymin = 21.781, xmax = -102.135, ymax = 22.233), class = "bbox"), crs = structure(list(
epsg = NA_integer_, proj4string = NA_character_), class = "crs"), n_empty = 0L)), sf_column = "geometry", agr = structure(c(station_number = NA_integer_,
station_alt = NA_integer_, month = NA_integer_, Mean_min = NA_integer_,
Mean_max = NA_integer_, months_observed = NA_integer_), .Label = c("constant",
"aggregate", "identity"), class = "factor"), row.names = c(NA,
6L), class = c("sf", "data.frame"))
Your coordinates are long/lat, so the distance will be in degrees. You should first project to a spatial reference in meter units and then take 10 000 meters.
The manual of st_buffer
says this about the dist argument:
in case dist is a units object, it should be convertible to arc_degree if x has geographic coordinates, and to st_crs(x)$units otherwise
If you leave the coordinates in 4326 you should be able to take something like 0.1 which should be about 11 km for Mexico, but you will see a warning message:
In st_buffer.sfc(st_geometry(x), dist, nQuadSegs, endCapStyle = endCapStyle, : st_buffer does not correctly buffer longitude/latitude data
So first convert to another projection (in meter) and enter the distance in meters. This should work, which uses EPSG 7801:
library(sf)
pois <- st_as_sf(stations)
st_crs(pois) <- 4326
pois <- st_transform(pois, crs = 7801)
plot(st_geometry(pois))
buff <- st_buffer(pois, dist = 10000)
plot(st_geometry(buff), add = TRUE)
Control with leaflet and the measure tool:
buff <- st_transform(buff, crs = 4326)
library(leaflet)
leaflet() %>%
addTiles() %>%
addMeasure(primaryLengthUnit = "meters") %>%
addMarkers(data = pois) %>%
addPolygons(data = buff)
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