Returns a subset of the plantae dataset filtered to American ecoregions
(ecoregion_continent == "Americas") with richness_species
(overall plant species richness) as the only response variable. All 84
predictor variables and identifier columns are retained.
This subset matches the example data used in the spatialRF package.
Value
sf data.frame with American ecoregions and columns: 5 identifiers,
richness_species, 84 predictors, and point geometry (WGS84).
See also
Other plantae:
plantae,
plantae_east(),
plantae_extra(),
plantae_predictors,
plantae_responses
Examples
west <- plantae_west()
nrow(west)
#> [1] 228
names(west)
#> [1] "ecoregion_id" "ecoregion_name"
#> [3] "ecoregion_biome" "ecoregion_realm"
#> [5] "ecoregion_continent" "richness_species"
#> [7] "bias_log_records" "geo_neighbors_count"
#> [9] "geo_neighbors_area_km2" "geo_neighbors_aridity_mean"
#> [11] "geo_area_km2" "geo_polygons_count"
#> [13] "geo_perimeter_km" "geo_shared_perimeter_km"
#> [15] "geo_shared_perimeter_fraction" "geo_distance_to_ocean"
#> [17] "geo_elevation_mean" "human_population"
#> [19] "human_population_density" "human_footprint_mean"
#> [21] "climate_velocity_lgm_mean" "climate_hypervolume"
#> [23] "landcover_bare_percent_mean" "landcover_herbs_percent_mean"
#> [25] "landcover_trees_percent_mean" "fragmentation_ai"
#> [27] "fragmentation_area_mn" "fragmentation_ca"
#> [29] "fragmentation_clumpy" "fragmentation_cohesion"
#> [31] "fragmentation_contig_mn" "fragmentation_core_mn"
#> [33] "fragmentation_cpland" "fragmentation_dcore_mn"
#> [35] "fragmentation_division" "fragmentation_ed"
#> [37] "fragmentation_lsi" "fragmentation_mesh"
#> [39] "fragmentation_ndca" "fragmentation_nlsi"
#> [41] "fragmentation_np" "fragmentation_shape_mn"
#> [43] "fragmentation_tca" "fragmentation_te"
#> [45] "air_humidity_max" "air_humidity_mean"
#> [47] "air_humidity_min" "air_humidity_range"
#> [49] "aridity_mean" "cloud_cover_max"
#> [51] "cloud_cover_mean" "cloud_cover_min"
#> [53] "cloud_cover_range" "evapotranspiration_max"
#> [55] "evapotranspiration_mean" "evapotranspiration_min"
#> [57] "evapotranspiration_range" "precipitation_seasonality"
#> [59] "precipitation_total" "precipitation_coldest_quarter"
#> [61] "precipitation_driest_month" "precipitation_driest_quarter"
#> [63] "precipitation_warmest_quarter" "precipitation_wettest_month"
#> [65] "precipitation_wettest_quarter" "temperature_isothermality"
#> [67] "temperature_mean_daily_range" "temperature_mean"
#> [69] "temperature_range" "temperature_seasonality"
#> [71] "temperature_coldest_month" "temperature_coldest_quarter"
#> [73] "temperature_driest_quarter" "temperature_warmest_month"
#> [75] "temperature_warmest_quarter" "temperature_wettest_quarter"
#> [77] "soil_clay" "soil_nitrogen"
#> [79] "soil_organic_carbon" "soil_ph"
#> [81] "soil_sand" "soil_silt"
#> [83] "soil_temperature_max" "soil_temperature_mean"
#> [85] "soil_temperature_min" "soil_temperature_range"
#> [87] "ndvi_max" "ndvi_mean"
#> [89] "ndvi_min" "ndvi_range"
#> [91] "geometry"