plants_df: Plant richness and predictors for American ecoregions

In spatialRF: Easy Spatial Modeling with Random Forest

Plant richness and predictors for American ecoregions

Description

Vascular plant species richness for American ecoregions as defined in Ecoregions 2017.

Usage

data(plants_df)

Format

A data frame with 227 rows and 22 columns:

• ecoregion_id: Ecoregion identifier.

• x: Longitude in degrees (WGS84).

• y: Latitude in degrees (WGS84).

• richness_species_vascular: Number of vascular plant species (response variable).

• bias_area_km2: Ecoregion area in square kilometers.

• bias_species_per_record: Species count divided by GBIF spatial records (sampling bias metric).

• climate_aridity_index_average: Average aridity index.

• climate_hypervolume: Climatic envelope volume computed with hypervolume.

• climate_velocity_lgm_average: Average climate velocity since the Last Glacial Maximum.

• neighbors_count: Number of immediate neighbors (connectivity metric).

• neighbors_percent_shared_edge: Percentage of shared edge with neighbors (connectivity metric).

• human_population_density: Human population density.

• topography_elevation_average: Average elevation.

• landcover_herbs_percent_average: Average herb cover from MODIS Vegetation Continuous Fields.

• fragmentation_cohesion: Cohesion index computed with landscapemetrics.

• fragmentation_division: Division index computed with landscapemetrics.

• neighbors_area: Total area of immediate neighbors.

• human_population: Total human population.

• human_footprint_average: Average human footprint index.

• climate_bio1_average: Average mean annual temperature.

• climate_bio15_minimum: Minimum precipitation seasonality.

See Also

Other data: plants_distance, plants_predictors, plants_response, plants_rf, plants_rf_spatial, plants_xy

spatialRF documentation built on Dec. 20, 2025, 1:07 a.m.