cookfarm

spatio-temporal data of soil properties and associated predictors for the Cookfarm in Washington, USA.
The data are a subset of the cookfarm dataset provided with the <a href="https://CRAN.R-project.org/package=GSIF">GSIF package</a>.

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

cookfarm function

A sf data.frame with 128545 rows and 17 columns:<dl>
 <dt>SOURCEID</dt>
<dd>ID of the logger</dd> <dt>VW</dt>
<dd>Response Variable - Soil Moisture</dd> <dt>altitude</dt>
<dd>Measurement depth of VW</dd> <dt>Date, cdata</dt>
<dd>Measurement Date, Cumulative Date</dd> <dt>Easting, Northing</dt>
<dd>Location Coordinates (EPSG:26911)</dd> <dt>DEM, TWI, NDRE.M, NDRE.Sd, Precip_wrcc, MaxT_wrcc, MinT_wrcc, Precip_cum</dt>
<dd>Predictor Variables</dd>
</dl>

Format

spatio-temporal data of soil properties and associated predictors for the Cookfarm in Washington, USA.
The data are a subset of the cookfarm dataset provided with the <a href='https://CRAN.R-project.org/package=GSIF'>GSIF package</a>.

Cookfarm soil logger data — cookfarm

A sf data.frame with 128545 rows and 17 columns:<dl>
 <dt>SOURCEID</dt>
<dd>ID of the logger</dd>

 <dt>VW</dt>
<dd>Response Variable - Soil Moisture</dd>

 <dt>altitude</dt>
<dd>Measurement depth of VW</dd>

 <dt>Date, cdata</dt>
<dd>Measurement Date, Cumulative Date</dd>

 <dt>Easting, Northing</dt>
<dd>Location Coordinates (EPSG:26911)</dd>

 <dt>DEM, TWI, NDRE.M, NDRE.Sd, Precip_wrcc, MaxT_wrcc, MinT_wrcc, Precip_cum</dt>
<dd>Predictor Variables</dd>


</dl>

cookfarm: Cookfarm soil logger data

Description

Usage

Arguments

Format

References