A data frame of the predictors used in the eBird Status and Trends models.
These include effort variables (e.g. distance traveled, number of observers,
etc.) in addition to variables describing the environment (e.g. elevation,
land cover, water cover, etc.). The environmental variables are derived by
summarizing remotely sensed datasets (described in
ebirdst_predictor_descriptions) over a 3 km diameter neighborhood around
each checklist. For categorical datasets, two variables are generated for
each class describing the percent cover (pland) and edge density (ed).
Format
A data frame with 150 rows and 4 columns:
predictor: predictor name.dataset: dataset name, which can be cross referenced in ebirdst_predictor_descriptions for further details.class: class number or name for categorical variables.label: descriptive labels for each predictor variable.