Thin points dataset based on geographic and temporal distance
Source:R/thin_by_dist_time.R
thin_by_dist_time.Rd
This function thins a dataset so that only observations that have a distance from each other greater than "dist_min" in space and "interval_min" in time are retained.
Usage
thin_by_dist_time(
data,
dist_min,
interval_min,
coords = NULL,
time_col = "time",
lubridate_fun = c,
dist_method = c("great_circle", "euclidean")
)
Arguments
- data
An
sf::sf
data frame, or a data frame with coordinate variables. These can be defined incoords
, unless they have standard names (see details below).- dist_min
Minimum distance between points (in units appropriate for the projection, or meters for lonlat data).
- interval_min
Minimum time interval between points, in days.
- coords
A vector of length two giving the names of the "x" and "y" coordinates, as found in
data
. If left to NULL, the function will try to guess the columns based on standard namesc("x", "y")
,c("X","Y")
,c("longitude", "latitude")
, orc("lon", "lat")
- time_col
The name of the column with time; if time is not a lubridate object, use
lubridate_fun
to provide a function that can be used to convert appropriately- lubridate_fun
function to convert the time column into a lubridate object
- dist_method
method to compute distance, either "euclidean" or "great_circle". Defaults to "great_circle", which is more accurate but takes slightly longer.
Value
An object of class sf::sf
or data.frame
, the same as "data".
Details
Geographic distances are measured in the appropriate units for the projection used. In case
of raw latitude and longitude (e.g. as provided in a data.frame), the crs is set
to WGS84, and units are set to meters. Time interval are estimated in days. Note that for
very long time period, the simple conversion x years = 365 * x days might lead
to slightly shorter intervals than expected, as it ignores leap years. The function
y2d()
provides a closer approximation.
This function an algorithm analogous to spThin
, with the exception that
neighbours are defined in terms of both space and time.