SensorVSample: Example calibration data for soil moisture sensors.

In JBrenn/SWCalibrateR: Flexible calibration tool for soil moisture sensors

Description

Example data set for soil moisture sensor calibration. Generally loads if shiny app is started.

Usage

data("SensorVSample")

Format

A data frame with 100 observations on the following 13 variables.

Project ID

a factor, project name

Station ID

a factor,name of micro-meteorological station equiped with soil moisture sensors.

Landuse

a factor, land use specification at the station.

Date

a factor, observation date.

Soil depth

a integer, observation soil depth in [cm].

Sensor SWC

a numeric, volumetric soil water content (VWC) of sensor / mean of station sensors at specific soil depth, range [0;1].

Sample SWC

a numeric, mean VWC of soil samples, by default three samples are generated for each soil depth during a field campaign, range [0;1].

Sensor type

a factor, type of sensor used to measure VWC Sensor SWC

Sensor ID

a factor, name of sensor used to measure VWC Sensor SWC

Soil type

a numeric, soil type at the station.

Latitude

a numeric, geographic coordinates at the station, latitude.

Longitude

a numeric, geographic coordinates at the station, longiude.

Altitude

a numeric, altitude in m a.s.l. at the station.

Examples

data("SensorVSample")
str(data)
summary(data)

JBrenn/SWCalibrateR documentation built on June 23, 2019, 4:46 p.m.