
Thin points dataset based on geographic and temporal distance
Source:R/thin_by_dist_time.R
thin_by_dist_time.RdThis 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::sfdata 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_funto 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.