scatter_plot: Scatter plot of goodness-of-fit metric vs parameters

In GREENeR: Geospatial Regression Equation for European Nutrient Losses (GREEN)

Scatter plot of goodness-of-fit metric vs parameters

Description

Scatter plot of goodness-of-fit metric vs parameters

Usage

scatter_plot(df_cb, param)

Arguments

df_cb	data frame. A table with the result of the calibration process.
param	character. Goodness of fit metric:"NSE", "rNSE", "NSE", "mNSE", "MAE", "PBIAS", "cp", "R2",...

Value

Multiple scatter plot

Examples

# the data of the TN scenario
data(catch_data_TN)
data(annual_data_TN)
# the parameter for the calibration of the model
n_iter <- 2 # number of iterations
# the lower limits for all params (alpha_P, alpha_L, sd_coef)
low <- c(10, 0.000, 0.1)
# the upper limits for all params (alpha_P, alpha_L, sd_coef)
upp <- c(70, 0.3,  0.9)
# years in which the model should be executed
years <- 1990:2018
# execution of the calibration
df_calib <- calib_green(catch_data_TN, annual_data_TN, n_iter, low, upp,
years)
gof_mes <- "NSE"
scatter_plot(df_calib, gof_mes)

GREENeR documentation built on Nov. 17, 2023, 1:06 a.m.