Matches daily coordinates to gridded data — extract_daily

This function extracts values from a daily or multi-layer gridded dataset at specific coordinate and time locations. It standardizes inputs and optionally computes focal statistics within a specified search radius around the target coordinates.

Usage

extract_daily_coord(
  data.in,
  coord.df,
  var.name,
  search.radius = 0,
  statistics = "mean",
  write.out = FALSE,
  output.file = NULL
)

Arguments

data.in: character vector, list, or SpatRaster. Single file path, vector of file paths, single SpatRaster, or list of SpatRasters.
coord.df: data.frame. A dataframe containing 'lat', 'lon', and 'date' columns to be extracted from the gridded data.
var.name: string. The name of the variable being extracted.
search.radius: numeric. The number of cell "rings" around the closest match to aggregate over. 0 = closest cell, 1 = 3x3 cells around closest, etc.
statistics: character vector. The statistics to be used for the gridded data. Options are 'mean', 'median', 'min', 'max', 'sd', 'var', 'sum'.
write.out: logical. If TRUE, writes the output to a csv file. If FALSE returns the output as a dataframe. Default is FALSE.
output.file: string. Full output file path (including .csv extension). Required if write.out is TRUE. Default is NULL.

Value

A dataframe with appended values from the gridded data matching the coordinates input, or writes a CSV if write.out is TRUE.