cookfarm: Cookfarm soil logger data

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

Cookfarm soil logger data

Description

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 GSIF package.

Usage

data(cookfarm)

Format

A sf data.frame with 128545 rows and 17 columns:

SOURCEID

ID of the logger

VW

Response Variable - Soil Moisture

altitude

Measurement depth of VW

Date, cdata

Measurement Date, Cumulative Date

Easting, Northing

Location Coordinates (EPSG:26911)

DEM, TWI, NDRE.M, NDRE.Sd, Precip_wrcc, MaxT_wrcc, MinT_wrcc, Precip_cum

Predictor Variables

References

• Gash et al. 2015 - Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D + T: The Cook Agronomy Farm data set \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1016/j.spasta.2015.04.001")}

• Meyer et al. 2018 - Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1016/j.envsoft.2017.12.001")}

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