A large dataset used by 'INFCaccuracyPlot0()' to speed the production of a fine resolution CV surface for the plots.
INFC_CVgrid
A data frame with 167560 rows and 7 variables:
see 'INFCcatalog' primary key
see 'Quantities'
trunk diameter at breast height (dbh), in cm
tree height, in m
coefficient of variation for an individual estimate
coefficient of variation for the estimate of an average
estimated value for the selected 'quantity'. See 'INFCvpe()' for more details
number of parameters that the function requires
is the (dbh, htot) point within the function domain?
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()
}