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R package providing functionality for calibration of soil moisture sensors.
- get calibration data via data("SensorVSample")
- query sites to calibrate and retrieve filtered data frame (CAL_doreg_data)
- perform linear calibration and visualization (CAL_doreg)
- interactive shiny app for sensor calibration (how to run see below)
First install the package with:
install.packages("devtools")
library(devtools)
install_github("GiulioGenova/SMCcalibration")
and then import the library with:
library(SMCcalibration)
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For running the calibration shiny app:
library(shiny)
data("SensorVSample")
data <- unique(data[,-8])
shinyApp(ui, server)
An online version of the app is here: https://euracalpenv.shinyapps.io/SWC_Calibration/
The same version runs with the following code:
if (!require("shiny")) install.packages("shiny")
shiny::runGitHub('GiulioGenova/SMCcalibration',subdir="R",launch.browser = TRUE)
For this application I got inspired by the RStudio shiny gallery and used these code snippets.