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Predictor names and how they crosswalk to the major land cover classes and subclasses listed in the vegetation key. Land cover classes or subclasses with NA values in PREDICTOR_NAME and PREDICTOR_NUM are excluded from these models. This data set is primarily for use in the reclassify_landcover() function.

Usage

predictors_tima

Format

key A data frame with 81 rows and 9 columns:

CODE_NUM

Numeric value used to encode rasters, matching key

CODE_NAME

Text string joining major land cover classes to subclasses with a '_', matching key

PREDICTOR_NAME

Corresponding predictor name in tidal marsh bird distribution models

PREDICTOR_NUM

Corresponding numeric value used to reclassify land cover rasters for use with tidal marsh bird distribution models

WETL

Additional predictor grouping wetland subclasses together; 1 indicates the included subclasses

NWET

Additional predictor grouping nontidal wetland subclasses together; 1 indicates the included subclasses

TWET

Additional predictor grouping tidal wetland subclasses together; 1 indicates the include subclasses

RFOR

Additional predictor grouping riparian forest subclasses together; 1 indicates the included subclasses

RSCR

Additional predictor grouping riparian scrub subclasses together; 1 indicates the included subclasses

Source

Dybala et al. In review