calculate species number by plot and year

Source: R/calc_reg_plot.R

This function calculates for each plot and year the number of species, total number of seedlings and established regeneration (or interval with mean and confidence interval using a log transformation) and approximate rubbing damage percentage for seedlings and established regeneration. For core area plots, these variables are calculated for each subplot.

calc_reg_plot(data_regeneration)

Arguments

data_regeneration

dataframe on tree regeneration with variables plot_id, plottype, subplot_id, height_class, species, nr_of_regeneration, rubbing_damage_number, period, year, subcircle, plotarea_ha, min_number_of_regeneration and max_number_of_regeneration.

Value

dataframe with columns plot, subplot, year, period, number_of_tree_species, nr_of_tree_species_established, mean_number_established_ha, lci_number_established_ha, uci_number_established_ha, mean_number_seedlings_ha, lci_number_seedlings_ha, uci_number_seedlings_ha, mean_rubbing_damage_perc_established, lci_rubbing_damage_perc_established, uci_rubbing_damage_perc_established, mean_rubbing_damage_perc_seedlings, lci_rubbing_damage_perc_seedlings, uci_rubbing_damage_perc_seedlings, approx_nr_established_ha, approx_nr_seedlings_ha, approx_rubbing_damage_perc_established, approx_rubbing_damage_perc_seedlings.

Examples

library(forrescalc)
# (add path to your own fieldmap database here)
path_to_fieldmapdb <-
  system.file("example/database/mdb_bosres.sqlite", package = "forrescalc")
data_regeneration <- load_data_regeneration(path_to_fieldmapdb)
calc_reg_plot(data_regeneration)
#> # A tibble: 30 × 25
#>    plottype plot_id subplot_id period  year number_of_tree_species
#>    <chr>      <int>      <int>  <int> <int>                  <int>
#>  1 CA         11000     155511      1  2000                      0
#>  2 CA         11000     155511      2  2011                      1
#>  3 CA         11000     155511      3  2021                      1
#>  4 CA         11000     155512      1  2000                      0
#>  5 CA         11000     155513      1  2000                      0
#>  6 CA         11000     155521      2  2011                      2
#>  7 CA         11000     155521      3  2021                      1
#>  8 CA         11000     155531      2  2011                      2
#>  9 CA         11000     155531      3  2021                      3
#> 10 CA         21000          1      1  2009                      4
#> # ℹ 20 more rows
#> # ℹ 19 more variables: nr_of_tree_species_established <int>,
#> #   approx_nr_established_ha <dbl>, approx_nr_seedlings_ha <dbl>,
#> #   approx_rubbing_damage_perc_established <dbl>,
#> #   approx_rubbing_damage_perc_seedlings <dbl>,
#> #   rubbing_damage_nr_established_ha <dbl>,
#> #   rubbing_damage_nr_seedlings_ha <dbl>, mean_number_established_ha <dbl>, …