| INFC_CVgrid {ForIT} | R Documentation |
'ForIT'-package Auxiliary pre-computed data - Ver.2
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 breast 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 parameters 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()
}
[Package ForIT version 2.4.0 Index]