aggregate regeneration parameters by plot, height, species and year

Source: R/calc_reg_core_area_height_spec.R

This function calculates for each plot, height, species and year the number of regeneration per ha (or interval with mean and confidence interval using a log transformation), the number and percentage of subplots in which the species is regenerating and the approximate rubbing damage percentage per hectare. This calculation is designed for core areas, that consist of different subplots.

calc_reg_core_area_height_spec(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, species, year, height, nr_of_subplots_with_regeneration, perc_subplots_with_regeneration, approx_rubbing_damage_perc, mean_number_of_regeneration_ha, lci_number_of_regeneration_ha, uci_number_of_regeneration_ha and approx_nr_regeneration_ha.

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_CA <-
  load_data_regeneration(path_to_fieldmapdb, plottype = "CA")
calc_reg_core_area_height_spec(data_regeneration_CA)
#> # A tibble: 65 × 14
#>    plottype plot_id period  year height_class species nr_of_subplots_with_rege…¹
#>    <chr>      <int>  <int> <int>        <int>   <int>                      <int>
#>  1 CA         11000      1  2000           NA      NA                          3
#>  2 CA         11000      2  2011         1000       7                          3
#>  3 CA         11000      2  2011         1000      87                          2
#>  4 CA         11000      2  2011         2000       7                          2
#>  5 CA         11000      2  2011         3000       7                          1
#>  6 CA         11000      3  2021         1000       7                          3
#>  7 CA         11000      3  2021         1000      16                          1
#>  8 CA         11000      3  2021         1000      87                          1
#>  9 CA         11000      3  2021         2000       7                          3
#> 10 CA         11000      3  2021         3000       7                          3
#> # ℹ 55 more rows
#> # ℹ abbreviated name: ¹​nr_of_subplots_with_regeneration
#> # ℹ 7 more variables: perc_subplots_with_regeneration <dbl>,
#> #   approx_nr_regeneration_ha <dbl>, approx_rubbing_damage_perc <dbl>,
#> #   rubbing_damage_number_ha <dbl>, mean_number_of_regeneration_ha <dbl>,
#> #   lci_number_of_regeneration_ha <dbl>, uci_number_of_regeneration_ha <dbl>