5. Sampling: Practical 5a
Data Exploration
Let's start by loading the data:
source('http://horizon.science.uva.nl/public/VVA/bci_sub_load_rda.R')
This command creates the dataframe BCI, which contains the cleaned observations for the year 2010. Let's explore the data.
str(BCI)
summary(BCI)
As you see, the dataset contains #4# variables:
- sp: species of the tree or shrub
- quadrat: study plot within the larger plot
- dbh: diameter of the stem in mm
- agb: Above-ground-biomass of all stems on the tree in Mg.
The dataset contains observations and there are remaining NAs.
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