View source: R/location_series.R
location_series | R Documentation |
This function extract a time series of local climate for a set of locations.
Note that this function does not apply any interpolation (as opposed to
location_slice()
). If you have a coastal location that just falls into the
water for the reconstructions, you will have to amend the coordinates to put
it more firmly on land.
location_series(
x,
time_bp = NULL,
time_ce = NULL,
coords = NULL,
bio_variables,
dataset,
path_to_nc = NULL,
nn_interpol = FALSE,
buffer = FALSE,
directions = 8
)
x |
a data.frame with columns of x and y coordinates (and an optional
|
time_bp |
time slices in years before present (negative values represent
time before present, positive values time in the future). This parameter
can be a vector of times (the slices need to exist in the dataset), a list
with a min and max element setting the range of values, or left to NULL to
retrieve all time steps. To check which slices are available, you can use
|
time_ce |
time slice in years CE (see |
coords |
a vector of length two giving the names of the "x" and "y"
coordinates, as found in |
bio_variables |
vector of names of variables to be extracted. |
dataset |
string defining the dataset to use. If set to "custom", then a single nc file is used from "path_to_nc" |
path_to_nc |
the path to the custom nc file containing the palaeoclimate reconstructions. All the variables of interest need to be included in this file. |
nn_interpol |
boolean determining whether nearest neighbour
interpolation is used to estimate climate for cells that lack such
information (i.e. they are under water or ice). By default, interpolation
is only performed from the first ring of nearest neighbours; if climate is
not available, NA will be returned for that location. The number of
neighbours can be changed with the argument |
buffer |
boolean determining whether the variable will be returned as
the mean of a buffer around the focal cell. If set to TRUE, it overrides
|
directions |
character or matrix to indicate the directions in which
cells are considered connected when using |
a data.frame with the climatic variables of interest
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