location_slice: Extract local climate for one or more locations for a given...

View source: R/location_slice.R

location_sliceR Documentation

Extract local climate for one or more locations for a given time slice.

Description

This function extract local climate for a set of locations at the appropriate times (selecting the closest time slice available for the specific date associated with each location).

Usage

location_slice(
  x,
  time_bp = NULL,
  time_ce = NULL,
  coords = NULL,
  bio_variables,
  dataset,
  path_to_nc = NULL,
  nn_interpol = TRUE,
  buffer = FALSE,
  directions = 8
)

Arguments

x

a data.frame with columns x and y coordinates(see coords for standard coordinate names, or how to use custom ones), plus optional columns time_bp or time_ce (depending on the units used) and name. Alternatively, a vector of cell numbers.

time_bp

used if no time_bp column is present in x: the dates in years before present (negative values represent time before present, i.e. 1950, positive values time in the future) for each location.

time_ce

time in years CE as an alternative to time_bp.Only one of time_bp or time_ce should be used.

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 names c("x", "y"), c("X","Y"), c("longitude", "latitude"), or c("lon", "lat")

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 directions. nn_interpol defaults to TRUE.

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 nn_interpol (which provides the same estimates as buffer but only for locations that are in cells with an NA). The buffer size is determined by the argument directions. buffer defaults to FALSE.

directions

character or matrix to indicate the directions in which cells are considered connected when using nn_interpol or buffer. The following character values are allowed: "rook" or "4" for the horizontal and vertical neighbours; "bishop" to get the diagonal neighbours; "queen" or "8" to get the vertical, horizontal and diagonal neighbours; or "16" for knight and one-cell queen move neighbours. If directions is a matrix it should have odd dimensions and have logical (or 0, 1) values.

Value

a data.frame with the climatic variables of interest.


EvolEcolGroup/pastclim documentation built on Nov. 8, 2024, 5:21 a.m.