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Read in and join all required tables

Source: R/fia_tidy.R
fia_tidy.Rd

Reads in all the tables needed for carbon estimation and population scaling and joins them into a single table. Then, some additional data cleaning steps are performed.

  1. Creates unique tree and plot identifiers (tree_ID and plot_ID, respectively).

  2. Fills in missing values for ACTUALHT with values from HT to prepare for interpolation.

  3. Overwrites SPCD with whatever the last value of SPCD is for each tree (to handle trees that change SPCD).

  4. Fills a tree's MORTYR column so every row contains the recorded mortality year.

  5. Filters to only include inventories that came after the start of the annual inventory in each state.

Usage

fia_tidy(db)

Arguments

db

A list of tables produced by fia_load().

Value

A tibble.

See also

fia_add_composite_ids()

Examples

db <- fia_load("RI", dir = system.file("exdata", package = "forestTIME"))
data_tidy <- fia_tidy(db)
#> ℹ Wrangling data
#> ✔ Wrangling data [410ms]
#>