check table Vegetation from Fieldmap database for inconsistencies

This function retrieves the important fields of table Vegetation (of all periods) from the given database and checks for missing data or wrong input.

check_data_vegetation(database, forest_reserve = "all")

Arguments

database

name of Fieldmap/Access database (with specific Fieldmap structure) including path

forest_reserve

name of forest reserve for which the records in the database should be checked (defaults to "all")

Value

Dataframe with inconsistent data with ID's and additional columns aberrant_field (which column is wrong) and anomaly (what is wrong with the input)

Examples

library(forrescalc)
# (add path to your own fieldmap database here)
path_to_fieldmapdb <-
  system.file("example/database/mdb_bosres.sqlite", package = "forrescalc")
check_data_vegetation(path_to_fieldmapdb)
#> # A tibble: 13 × 6
#>    plot_id subplot_id period aberrant_field anomaly aberrant_value
#>      <int>      <int>  <int> <chr>          <chr>   <chr>         
#>  1    2006          1      1 moss_cover_id  missing NA            
#>  2    2006          1      1 herb_cover_id  missing NA            
#>  3    2006          1      1 shrub_cover_id missing NA            
#>  4    2006          1      1 tree_cover_id  missing NA            
#>  5     204          1      2 date           missing NA            
#>  6     204          1      2 fieldteam      missing NA            
#>  7     204          1      2 moss_cover_id  missing NA            
#>  8     204          1      2 herb_cover_id  missing NA            
#>  9     204          1      2 shrub_cover_id missing NA            
#> 10     204          1      2 tree_cover_id  missing NA            
#> 11    1005          1      2 moss_cover_id  missing NA            
#> 12    1005          1      2 shrub_cover_id missing NA            
#> 13    1005          1      2 tree_cover_id  missing NA            
check_data_vegetation(path_to_fieldmapdb, forest_reserve = "Everzwijnbad")
#> # A tibble: 0 × 6
#> # ℹ 6 variables: plot_id <int>, subplot_id <int>, period <int>,
#> #   aberrant_field <chr>, anomaly <chr>, aberrant_value <chr>