splotdata

sPlotOpen Species Richness for South America with associated predictors

datasets

Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; Linnenbrink et al. (2023) <doi:10.5194/egusphere-2023-1308>. The package is described in detail in Meyer et al. (2024) <doi:10.48550/arXiv.2404.06978>.

Hanna Meyer

CAST

'caret' Applications for Spatial-Temporal Models

Carles Milà

Marvin Ludwig

Jan Linnenbrink

Fabian Schumacher

Philipp Otto

Chris Reudenbach

Thomas Nauss

Edzer Pebesma

splotdata function

A sf points / data.frame with 703 rows and 17 columns:<dl>
 <dt>PlotObeservationID, GIVD_ID, Country, Biome</dt>
<dd>sPlotOpen Metadata</dd> <dt>Species_richness</dt>
<dd>Response Variable - Plant species richness from sPlotOpen</dd> <dt>bio_x, elev</dt>
<dd>Predictor Variables - Worldclim and SRTM elevation</dd> <dt>geometry</dt>
<dd>Lat/Lon</dd>
</dl>

Format

sPlotOpen Data of Species Richness — splotdata

A sf points / data.frame with 703 rows and 17 columns:<dl>
 <dt>PlotObeservationID, GIVD_ID, Country, Biome</dt>
<dd>sPlotOpen Metadata</dd>

 <dt>Species_richness</dt>
<dd>Response Variable - Plant species richness from sPlotOpen</dd>

 <dt>bio_x, elev</dt>
<dd>Predictor Variables - Worldclim and SRTM elevation</dd>

 <dt>geometry</dt>
<dd>Lat/Lon</dd>


</dl>

sPlotOpen Data of Species Richness

splotdata: sPlotOpen Data of Species Richness

Description

Usage

Arguments

Format

References