process_multi_pcl function

Process multiplie PCL transects.

process_multi_pcl imports and processes mutiple PCL transect.

process_multi_pcl(
  data_dir,
  user_height,
  marker.spacing,
  max.vai,
  pavd = FALSE,
  hist = FALSE,
  save_output = TRUE
)

Arguments

• data_dir: directory where PCL .csv files are stored
• user_height: height of laser from ground based on user in meters
• marker.spacing: space between markers in the PCL data, in meters
• max.vai: the maximum value of column VAI. The default is 8. Should be a max value, not a mean.
• pavd: logical input to include Plant Area Volume Density Plot from [plot_pavd], if TRUE it is included, if FALSE, it is not.
• hist: logical input to include histogram of VAI with PAVD plot, if TRUE it is included, if FALSE, it is not.
• save_output: needs to be set to true, or else you are just going to get a lot of data on the screen

Returns

writes the hit matrix, summary matrix, and output variables to csv in an output folder, along with hit grid plot

Details

This is a specific function that works using the input of a data directory of .csv files where the function cycles through the files there and processes multiple files, producing the same output files described in process_pcl

Examples

# This function works on a directory of raw PCL data
## Not run:
data_directory <- "./data/PCL_transects/"  #data directory containing PCL transects
process_multi_pcl(data_directory, user_height = 1.05, marker.spacing = 10,
max.vai = 8, pavd = FALSE, hist = FALSE, save_output = FALSE)

process_multi_pcl("./data/PCL_transects/", user_height = 1.05, marker.spacing = 10,
max.vai = 8, pavd = FALSE, hist = FALSE, save_output = FALSE)
## End(Not run)

See Also

process_pcl