clean_coordinates() fails for data subsets

[AMBarbosa]

Lately, clean_coordinates() throws an error when applying the outliers test if the input data has had some rows removed. Here's a reproducible example:

dat <- geodata::sp_occurrence(genus = "Harpia", species = "harpyja", fixnames = FALSE)

dat_cc <- CoordinateCleaner::clean_coordinates(dat, lon = "decimalLongitude", lat = "decimalLatitude", species = "species")

# error because of missing coordinates; remove them and try again:

dat_cc <- CoordinateCleaner::clean_coordinates(subset(dat, !is.na(dat$decimalLatitude)), lon = "decimalLongitude", lat = "decimalLatitude", species = "species")

# Testing coordinate validity
# Flagged 0 records.
# Testing equal lat/lon
# Flagged 0 records.
# Testing zero coordinates
# Flagged 0 records.
# Testing country capitals
# Flagged 16 records.
# Testing country centroids
# Flagged 4 records.
# Testing sea coordinates
# trying URL 'https://naturalearth.s3.amazonaws.com/50m_physical/ne_50m_land.zip'
# Content type 'application/zip' length 457183 bytes (446 KB)
# downloaded 446 KB
# 
# Flagged 35 records.
# Testing geographic outliers
# Flagged 116 records.
# Error in `$<-.data.frame`(`*tmp*`, "otl", value = c(`1` = TRUE, `2` = TRUE,  : 
# replacement has 3789 rows, data has 3785

[amadotalita]

I am having the same problem for weeks now.

[azizka]

thanks for the note. We are working on version 3.x which will hopefully adress this issue and should be released end of september

[BrunoVilela]

The issue has been solved in the updated version, which is currently available on the master branch