Description Usage Arguments Value Examples
View source: R/map_coord_clean.R
Generates a ggplot object and user can opt to save maps of maps of all occurrence records and the occurrence records that were flagged by a coordinate cleaning procedure as potentially problematic.
1 2 3 4 5 6 7 8 9 | map_coord_clean(
df,
lon,
lat,
species,
flagged,
imagedir = "NotNeeded",
saveimage = FALSE
)
|
df |
a data.frame containing the geographical coordinates (e.g., latitude and longitude), species names, and if the particular coordinates were flagged as potentially problematic. |
lon |
a character string containing the column name with the longitudinal coordinates. Default = "decimalLongitude". |
lat |
a character string containing the column name with the latitudinal coordinates. Default = "decimalLatitude". |
species |
a character string that is the same length as rows in the data.frame with the species identity for each record. If missing, outlier test is skipped. |
flagged |
a character string containing the column name with a logical value for each coordinate in the dataframe. TRUE is interpreted as a potentially problematic coordinate. |
imagedir |
Path of a directory to save figure of mapped occurrence records to. Default = "NotNeeded" |
saveimage |
logical. If TRUE, figure of maps showing all occurrence records and flagged occurrence records are saved to imagedir. Default = FALSE |
A ggplot object that shows a map of all occurrence records and the records that are potentially problematic.
1 2 3 4 5 6 7 8 9 10 11 12 | # generate test dataframe
test_data <- data.frame(species = "Test species",
decimallongitude = runif(100, min = 42, max = 51),
decimallatitude = runif(100, min = -26, max = -11))
# flag potentially problematic coordinates using CoordinateCleaner Function
cc <- CoordinateCleaner::clean_coordinates(x = test_data)
# generate map of flagged occurrence records
map_coord_clean(df = cc, lon = "decimallongitude",
lat = "decimallatitude", species = "Test species", flagged = ".summary")
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.