inconsistent_data | R Documentation |
This function attempts to automatically detect inconsistent
locations (for instance due to a writing error or GPS inaccuracies) in
track
tables.
inconsistent_data(x, s = 15)
x |
|
s |
The discrimination threshold for the outlier detection algorithm. Higher values correspond to less outliers. |
A track table of all inconsistent data.
Simon Garnier, garnier@njit.edu
track
# Create data set with inconsistent data
data(tracks)
t_df <- track(x = tracks$x, y = tracks$y, t = tracks$t,
id = tracks$id, proj = "+proj=longlat",
tz = "Africa/Windhoek", table = "df")
t_df$x[1000] <- t_df$x[1000] * 1.0001
t_df$y[4000] <- t_df$y[4000] * 1.00001
# Find inconsistent data
inconsistent <- inconsistent_data(t_df)
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