INFC_CVgrid: 'ForIT'-package Auxiliary pre-computed data - Ver.2

In npuletti/ForIT: Functions to estimate tree volume and phytomass in the Italian forest inventory 2005

Description

A large dataset used by 'INFCaccuracyPlot0()' to speed the production of a fine resolution CV surface for the plots.

Usage

INFC_CVgrid

Format

A data frame with 167560 rows and 7 variables:

pag

see 'INFCcatalog' primary key

quantity

see 'Quantities'

dbh

trunk diameter at brest height (dbh), in cm

h_tot

tree height, in m

cv_ie

coefficient of variation for an individual estimate

cv_ea

coefficient of variation for the estimate of an average

est

estimated value for the selected 'quantity'

\# see 'INFCvpe()' for more details

n_par

number of paramaters that the function requires

inD

is the (dbh, htot) point within the function domain?

Details

The dataset is produced by the following code.

 Populate_INFC_CVgrid <- function() {
 INFCcatalog %>%
   select(pag) %>%
   inner_join(INFCspecies %>%
                select(pag, EPPOcode),
              by = "pag") %>%
   group_by(pag) %>%
   summarise(EPPOcode = first(EPPOcode),
             .groups = "drop") %>%
   inner_join(Quantities %>% select(quantity), by = character()) %>%
   mutate(grid.k = pmap(list(pag, EPPOcode, quantity), compute_grid0)) %>%
   select(-EPPOcode) %>%
   unnest(cols = c(grid.k)) %>%
   return()
 }

npuletti/ForIT documentation built on Dec. 29, 2021, 7:50 a.m.