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 doi: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 doi:10.1016/j.envsoft.2017.12.001