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]