load_coordinates(): Load a CSV file containing named coördinates and
return an sf object. It uses utils::read.csv() to read the
data. In the function definition, it is assumed that the CSV file contains a
column named "Coordinates_WGS84" that contains the coördinates in the format
"Latitude, Longitude". The function uses tidyr::separate() to split
the coördinates into two separate columns, "Latitude" and "Longitude". The
function also assumes that the coördinates are in the WGS 84 format, and it
uses sf::st_as_sf() to convert the data to an sf object with
the coördinates as the geometry column.
Usage
load_coordinates(
data = NULL,
path = list("data", "raw", "NDC_datapoints.csv"),
sep = ";",
sep_col = "Coordinates_WGS84",
into = c("Latitude", "Longitude"),
col_order = c("Longitude", "Latitude"),
separate_sep = ",",
factor_cols = c("County", "Place"),
mutate_col = "Type",
mutate_val = "Participant home town/self-defined dialect",
mutate_after = "geometry"
)Arguments
- data
An optional data frame containing coördinates, default is
NULL- path
A list of character strings specifying the path to the CSV file, default is
here::here("data", "raw", "NDC_datapoints.csv")- sep
The separator used in the CSV file, default is
";"- sep_col
The name of the column containing the coördinates, default is
"Coordinates_WGS84"- into
A character vector of length 2 specifying the names of the columns, default is
c("Latitude", "Longitude")- col_order
A character vector of length 2 specifying the order of the columns, default is
c("Longitude", "Latitude")- separate_sep
The separator used to separate the coördinates into two columns, default is
","- factor_cols
A character vector of column names to convert to factors, default is
c("County", "Place")- mutate_col
The name of the column to mutate, default is
Type- mutate_val
The value to assign to the mutated column, default is
"Participant home town/self-defined dialect"- mutate_after
The name of the column after which to insert the mutated column, default is
"geometry"