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sf long format data frame with POINT geometry and CRS ETRS89 / UTM zone 30N (EPSG:25830), containing 37,773 presence records for 90 plant species and 8,692 background points (46,465 rows total) from Andalusia, Spain.

The dataset contains 3 columns (species, presence, geometry). Environmental predictors for each point can be extracted from the companion raster returned by andalusia_extra(). Predictor names are stored in andalusia_predictors.

Usage

data(andalusia)

Format

An sf data frame with 46,465 rows (presences and background points) and 3 columns:

  • species: Character string (species name or "background"). Suitable for classification models.

  • presence: Binary integer stored as integer (1 = confirmed species presence, 0 = background point).

  • geometry: sfc_POINT column with coordinates in EPSG:25830.

Source

Published study:

  • Benito, B.M., Lorite, J., Pérez-Pérez, R., Gómez-Aparicio, L., & Peñas, J. (2014). Forecasting plant range collapse in a mediterranean hotspot: when dispersal uncertainties matter. Diversity and Distributions, 20(1), 72–83. doi:10.1111/ddi.12148

Landsat imagery:

Climate variables:

  • Ninyerola, M., Pons, X. & Roure, J.M. (2005). Atlas Climático Digital de la Península Ibérica: Metodología y aplicaciones en bioclimatología y geobotánica. Universidad Autónoma de Barcelona, Bellaterra.

Topography:

Examples

data(andalusia)
colnames(andalusia)
#> [1] "species"  "presence" "geometry"
nrow(andalusia)
#> [1] 46465
ncol(andalusia)
#> [1] 3