Learn R Programming

disdat (version 1.0-1)

SA: South American plant species distribution data

Description

Species occurrence data for 30 vascular plant species (all from the Bignoniaceae family) from Continental Brazil, Ecuador, Colombia, Bolivia, and Peru, South America (SA), and associated environmental data. Full details of the dataset are provided in the reference below. There are four data sets with training (po and bg) and test (pa, env) data:

po (training data) includes site names, species names, coordinates, occurrence ("1" for all, since all are presence records), group (plant), and site values for 11 environmental variables (below).

bg (training data) has 10000 sites selected at random across the study region. It is structured identically to po, with "0" for occurrence (not implying absence, but denoting background in a way suited to most modelling methods) and NA for group.

env (testing data) includes group, site names, coordinates, and site values for 11 environmental variables (below), at 152 sites. This file is suited to making predictions.

pa (testing data) includes group, site names, coordinates, and presence-absence records, one column per species. The sites are identical to the sites in env. This file is suited to evaluating the predictions made to env.

Raster (gridded) data for all environmental variables are available - see the reference below for details.

The coordinate reference system of the x and y coordinates is longitude, latitude, with the WGS84 datum (EPSG:4326).

The vignette provided with this package provides an example of how to fit and evaluate a model with these data.

Environmental variables (extracted from WorldClim):

CodeDescriptionUnitsType
sabio1Annual mean temperaturedegrees C * 10Continuous
sabio2Mean Diurnal Range (Mean of monthly (max temp - min temp))degrees C * 10Continuous
sabio4Temperature Seasonality (standard deviation *100)dimensionlessContinuous
sabio5Max Temperature of Warmest Monthdegrees C * 10Continuous
sabio6Min Temperature of Coldest Monthdegrees C * 10Continuous
sabio7Temperature Annual Rangedegrees C * 10Continuous
sabio8Mean Temperature of Wettest QuartermmContinuous
sabio12Annual PrecipitationmmContinuous
sabio15Precipitation Seasonality (Coefficient of Variation)mmContinuous
sabio17Precipitation of Driest QuartermmContinuous
sabio18Precipitation of Warmest QuartermmContinuous

Arguments

References

Elith, J., Graham, C.H., Valavi, R., Abegg, M., Bruce, C., Ferrier, S., Ford, A., Guisan, A., Hijmans, R.J., Huettmann, F., Lohmann, L.G., Loiselle, B.A., Moritz, C., Overton, J.McC., Peterson, A.T., Phillips, S., Richardson, K., Williams, S., Wiser, S.K., Wohlgemuth, T. & Zimmermann, N.E., (2020). Presence-only and presence-absence data for comparing species distribution modeling methods. Biodiversity Informatics 15:69-80.

Examples

Run this code
sa_po <- disPo("SA")
sa_bg <- disBg("SA")

sa_pa <- disPa("SA")
sa_env <- disEnv("SA")

x <- disData("SA")
sapply(x, head)

disCRS("SA")

Run the code above in your browser using DataLab