ebirdst_predictors: eBird Status and Trends predictor variables

In ebirdst: Access and Analyze eBird Status and Trends Data Products

eBird Status and Trends predictor variables

Description

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).

Usage

ebirdst_predictors

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.

ebirdst documentation built on Nov. 16, 2023, 5:07 p.m.