Cleaning empty results

Cleaning inventory results to filter out empty data

Usage

clean_empty(inventory_data, cols)

Arguments

inventory_data

Data from an inventory as obtained from ifn_to_tibble, fia_to_tibble or ffi_to_tibble.

cols

vector with column names to clean from empty results. Can be one or more of "tree", "shrubs", "herbs" and "regen". If more than one, only plots with data in all columns selected will be retained. "shrubs" and "herbs" are inside "understory" column, and should be noted that IFN inventory never have "herbs" data, so cleaning by it will always return an empty tibble.

Value

A tibble the same as inventory_data with the empty data removed for the columns selected.

Details

This functions remove plot rows with empty data in the desired nested columns.

Examples

# \donttest{
if (FALSE) { # \dontrun{
library(forestables)

# FFI
ffi_to_tibble(
  departments = c("01"), years = c(2019),
  filter_list = list("01" = c(1404119)),
  folder = "path/to/ffi/data"
) |>
  clean_empty(c("tree", "regen", "shrub", "herbs"))

# FIA
fia_to_tibble(
  years = 2019, states = c("OR"),
  filter_list = list("OR" = list("59" = c(76413))),
  folder = "path/to/fia/data"
) |>
  clean_empty(c("tree", "regen", "shrub", "herbs"))

# IFN (never clean by "herbs", as is always empty)
ifn_to_tibble(
  provinces = c("24"), versions = c("ifn3"),
  filter_list = list("24" = c("24_0270_xx_A4_xx")),
  folder = "path/to/ifn/data"
) |>
  clean_empty(c("tree", "regen", "shrub"))
} # }
# }