This is a leaflet wrapper. The input data frame requires very specific columns that must be included. The format caters to IEP surveys but should be generalizable to other datasets.
Arguments
- df
A dataframe with 6 required columns: date, station, legend, layer, lat, and lon. See the "details" section for additional information.
- layerName
Character vector used to label the layer element within the pop up at each plotted point.
- dateName
Character vector used to label the date element within the pop up at each plotted point.
- height
Height of the leaflet map.
- ...
Optional. Currently only used to determine the
providerargument within the addProviderTiles.
Details
The input data frame must have at least six specific columns.
date represents when the samples were taken and is used to label each data point in the pop-up label. This does not technically need to be a date and can be any date-related label that makes sense for your project, e.g., month or year.
station represents the name of the sampling points and is used to label each data point on the map.
legend contains the legend labels and marks the colors of the data points on the map. This is useful if there are different instances of the same sampling point, e.g., start and end GPS coordinates.
layer determines the layers that are depicted in the layer control of the plot. Use this to filter data points on the map, e.g., per survey number.
lat contains the latitude coordinates of your sampling point
lon contains the longitude coordinates of your sampling point
Examples
if (FALSE) { # \dontrun{
df <- data.frame(date = 2023,
station = c(508, 513, 520, 801),
legend = c("Theoretical"),
layer = c("Theoretical"),
lat = c(38.04717, 38.05886, 38.03217, 38.04369),
lon = c(-121.9172, -121.8677, -121.8631, -121.8440))
plotGPS(df, layerName = "Survey", dateName = "Year")
} # }