This function reads a table in .csv format from git repository forresdat
(and saves the forresdat data to a local temp directory to avoid unneeded
downloading in the future).
Data available in forresdat only contains observations, so no records with
zero values are added for for instance species that were not observed and
hence absent.
These zero value records can easily be added by using the function
add_zeros().
To load table plotinfo, set argument join_plotinfo = FALSE.
read_forresdat_table(
tablename,
join_plotinfo = TRUE,
plottype = c("CP", "CA", "all")
)name of the table that should be read
should table plotinfo be joined to the chosen table to
add columns forest_reserve, survey_dendro/deadw/reg/veg (TRUE or
FALSE) and data_processed (TRUE or FALSE)?
Default is TRUE.
(This is only possible if the given table contains a column plot_id,
so this parameter should be put FALSE if this column is absent.)
Must be FALSE if you want to load the table plotinfo itself.
Data of which plottype (used method) should be retrieved?
Default is 'CP' or 'circle plot', alternatively 'CA' or 'core area', or 'all'
(retrieve both circle plots and core areas) could be chosen.
A dataframe with the specified table, default columns plottype,
forest_reserve, survey_dendro/deadw/reg/veg (TRUE or FALSE) and
data_processed (TRUE or FALSE).
To be able to recall the version of the data, this dataframe contains
an attribute with the version number of the release of forresdat from which
the data are taken.
library(forrescalc)
data_dendro <- read_forresdat_table(tablename = "dendro_by_plot")
#> Rows: 17 Columns: 16
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (1): plottype
#> dbl (15): plot_id, year, period, number_of_tree_species, number_of_trees_ha,...
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Rows: 17 Columns: 13
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (2): forest_reserve, plottype
#> dbl (4): plot_id, period, survey_number, year_dendro
#> lgl (7): survey_trees, survey_deadw, survey_veg, survey_reg, game_impact_veg...
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Warning: The dataset only contains presence data and lacks zero observations (except for 1 observation per plot_id and period to indicate that observations are done). Please use function add_zeros() to add zero observations when needed.
data_dendro
#> # A tibble: 9 × 26
#> plot_id year period number_of_tree_species number_of_trees_ha stem_number_ha
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 204 2000 1 1 23.9 23.9
#> 2 2006 2000 1 1 10.6 10.6
#> 3 101 2002 1 3 364. 521.
#> 4 1005 2006 1 1 42.4 42.4
#> 5 2006 2010 2 1 10.6 10.6
#> 6 204 2011 2 1 23.9 23.9
#> 7 101 2012 2 2 206. 285.
#> 8 1005 2016 2 1 42.4 42.4
#> 9 2006 2020 3 1 10.6 10.6
#> # ℹ 20 more variables: basal_area_alive_m2_ha <dbl>,
#> # basal_area_dead_m2_ha <dbl>, vol_alive_m3_ha <dbl>,
#> # vol_dead_standing_m3_ha <dbl>, vol_bole_alive_m3_ha <dbl>,
#> # vol_bole_dead_m3_ha <dbl>, vol_log_m3_ha <dbl>, vol_deadw_m3_ha <dbl>,
#> # stems_per_tree <dbl>, forest_reserve <chr>, plottype <chr>,
#> # survey_number <dbl>, year_dendro <dbl>, survey_trees <lgl>,
#> # survey_deadw <lgl>, survey_veg <lgl>, survey_reg <lgl>, …
attr(data_dendro, "forresdat")
#> [1] "forresdat release v0.0.3"