Example dataset for ForestData: Paracou, plot 6, corrected for status and size, then for overgrown recruits

The same built-in example dataset as example_census, corrected with correct_alive, correct_size and correct_recruits

example_recruits

Format

A data frame with 25634 rows and 12 variables:

Forest: Character, general information: Forest sector where the plot to which trees belong is located. Here, always Paracou:P6
Plot: Integer (could be character), the index of the plot to which trees belong
idTree: Integer (could be character), the unique id of the tree
Family: Character, taxonomic information : botanical family
Genus: Character, taxonomic information : botanical genus
Species: Character, taxonomic information : species name
CensusYear: Integer, the year at which the tree is censused
CodeAlive: Logical or integer, tree life status: 1 for alive, 0 for dead. NA, if any, indicate that the tree was not seen for the corresponding census
CodeMeas: Character, not important here. Additionan informations relative to measurements
Circ: Numeric. Tree size expressed as stem circumference, in centimeters
binomial_name: Taxonomic information: full binomial species name
POM: Numeric. Point of Measurement, in meters.
status_corr: Integer, interpretable as logical. Corrected vital status obtained with correct_alive
size_corr: Numeric. Corrected tree size (here, circumference) obtained with correct_size
code_corr: Character, indicates the type of correction done for each measurement, if any. Obtained with correct_size
corrected_recruit: Logical. Flags the lines added by correct_recruits if any