assign_to_grid | R Documentation |
Given a set of points in space and (optionally) time, define a regular grid with given dimensions, and return the grid cell index for each point.
assign_to_grid(
points,
coords = NULL,
is_lonlat = FALSE,
res,
jitter_grid = TRUE,
grid_definition = NULL
)
points |
data frame; points with spatial coordinates |
coords |
character; names of the spatial and temporal coordinates in the
input dataframe. Only provide these names if you want to overwrite the
default coordinate names: |
is_lonlat |
logical; if the points are in unprojected, lon-lat
coordinates. In this case, the input data frame should have columns
|
res |
numeric; resolution of the grid in the |
jitter_grid |
logical; whether to jitter the location of the origin of the grid to introduce some randomness. |
grid_definition |
list; object defining the grid via the |
Data frame with the indices of the space-only and spacetime grid
cells. This data frame will have a grid_definition
attribute that can be
used to reconstruct the grid.
set.seed(1)
# generate some example points
points_xyt <- data.frame(x = runif(100), y = runif(100), t = rnorm(100))
# assign to grid
cells <- assign_to_grid(points_xyt, res = c(0.1, 0.1, 0.5))
# assign a second set of points to the same grid
assign_to_grid(points_xyt, grid_definition = attr(cells, "grid_definition"))
# assign lon-lat points to a 10km space-only grid
points_ll <- data.frame(longitude = runif(100, min = -180, max = 180),
latitude = runif(100, min = -90, max = 90))
assign_to_grid(points_ll, res = c(10000, 10000), is_lonlat = TRUE)
# overwrite default coordinate names, 5km by 1 week grid
points_names <- data.frame(lon = runif(100, min = -180, max = 180),
lat = runif(100, min = -90, max = 90),
day = sample.int(365, size = 100))
assign_to_grid(points_names,
res = c(5000, 5000, 7),
coords = c("lon", "lat", "day"),
is_lonlat = TRUE)
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