usmap_transform | R Documentation |
Converting a spatial object of map coordinates will allow those points to line up with the regular usmap plot by applying the same US National Atlas Equal Area projection (including Alaska and Hawaii of course) to those points as well.
The input data
is assumed to contain longitude and latitude coordinates
by default. If this is not the case, provide an sf::st_crs object
to the crs
parameter with the appropriate coordinate reference system.
usmap_transform(data, ...)
## S3 method for class 'sf'
usmap_transform(data, ...)
## S3 method for class 'data.frame'
usmap_transform(data, ..., input_names = c("lon", "lat"), output_names = NULL)
data |
A data frame containing coordinates in a two column format where the first column represents longitude and the second data frame represents latitude. The names of the data frame column do not matter, just that the order of the columns is kept intact. |
... |
Additional parameters passed onto sf::st_as_sf.
By default, |
input_names |
A character vector of length two which specifies the
longitude and latitude columns of the input data (the ones that should be
transformed), respectively. Only required if the input data is
a |
output_names |
Defunct, this parameter is no longer used. The output
of this function will have a column named |
An sf
object containing the transformed coordinates from the
input data frame with the US National Atlas Equal Area projection applied.
The transformed columns will be appended to the data frame so that all
original columns should remain intact.
data <- data.frame(
lon = c(-74.01, -95.36, -118.24, -87.65, -134.42, -157.86),
lat = c(40.71, 29.76, 34.05, 41.85, 58.30, 21.31),
pop = c(8398748, 2325502, 3990456, 2705994, 32113, 347397)
)
# Transform data
transformed_data <- usmap_transform(data)
# Plot transformed data on map
library(ggplot2)
plot_usmap() + geom_sf(
data = transformed_data,
aes(size = pop),
color = "red", alpha = 0.5
)
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