splotdata: sPlotOpen Data of Species Richness

In environmentalinformatics-marburg/CAST: 'caret' Applications for Spatial-Temporal Models

sPlotOpen Data of Species Richness

Description

sPlotOpen Species Richness for South America with associated predictors

Usage

data(splotdata)

Format

A sf points / data.frame with 703 rows and 17 columns:

PlotObeservationID, GIVD_ID, Country, Biome

sPlotOpen Metadata

Species_richness

Response Variable - Plant species richness from sPlotOpen

bio_x, elev

Predictor Variables - Worldclim and SRTM elevation

geometry

Lat/Lon

Source

• Plot with Species_richness from sPlotOpen

• predictors acquired via R package geodata

References

• Sabatini, F. M. et al. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots. (2021). \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/geb.13346")}

• Lopez-Gonzalez, G. et al. ForestPlots.net: a web application and research tool to manage and analyse tropical forest plot data: ForestPlots.net. Journal of Vegetation Science (2011).

• Pauchard, A. et al. Alien Plants Homogenise Protected Areas: Evidence from the Landscape and Regional Scales in South Central Chile. in Plant Invasions in Protected Areas (2013).

• Peyre, G. et al. VegPáramo, a flora and vegetation database for the Andean páramo. phytocoenologia (2015).

• Vibrans, A. C. et al. Insights from a large-scale inventory in the southern Brazilian Atlantic Forest. Scientia Agricola (2020).

environmentalinformatics-marburg/CAST documentation built on April 27, 2024, 2:07 p.m.