Find the closest dataset records to a site, dataset or long/lat pair in Neotoma

Passing in a download object the function outputs a Bacon or Clam formatted file to a user defined destination for age modelling with existing age-depth modeling software.

Usage

get_closest(x, n, buffer, ...)

Arguments

x: A vector long/lat pair, or a dataset, site or download.
n: The maximum number of records to return (in the case of ties the return may be larger)
buffer: The size of the buffer for dataset search (in meters)
...: optional arguments to pass into get_dataset.

Value

This command returns a dataset or dataset_list, or NULL if no records exist within the bounding box.

Details

The function uses the sf package to generate a circular buffer around a point of interest. From there a square bounding box is sent to Neotoma using the get_dataset() function. To use the buffering function we must convert from long/lat to UTM coordinates, which we do by guessing the UTM zone of the point of interest. Details can be found in the function's R code hosted on GitHub: https://github.com/ropensci/neotoma/blob/master/R/get_closest.R

References

Neotoma Project Website: http://www.neotomadb.org API Reference: http://wnapi.neotomadb.org/doc/resources/contacts

Author

Simon J. Goring simon.j.goring@gmail.com, Andria Dawson andria.dawson@gmail.com

Examples

if (FALSE) { # \dontrun{
#  The point of pulling chronology tables is to re-build or examine the chronological
#  information that was used to build the age-depth model for the core.
# Find the closest records to Madison, WI:
get_closest(x = c(-89.4012, 43.0731), n = 10, buffer = 5000, datasettype = "pollen")
} # }