Comparison plot of Raw vs QC vs SR reflectance data — wisp_plot

This function creates an interactive side-by-side visual comparison of the different WISPstation data processing levels. Using plotly submodules, it enables the visualization of up to three aligned plots within a single interactive window: raw data downloaded directly from WISPstation, processed data after QC, processed data after SR. This provides a powerful tool for visually assessing how filtering and correction algorithms modify spectral signatures, remove artifacts, and improve data quality.

Usage

wisp_plot_comparison(
  raw_data,
  qc_data = NULL,
  sr_data = NULL,
  raw_args = NULL,
  qc_args = NULL,
  sr_args = NULL
)

Arguments

raw_data: A tibble. The original data obtained by wisp_get_reflectance_data().
qc_data: A tibble. The data after wisp_qc_reflectance_data() operations. Default is NULL.
sr_data: A tibble. The data after wisp_sr_reflectance_data() operations. Default is NULL.
raw_args: A list of arguments to be passed to wisp_plot_reflectance_data for the raw data plot (legend). Default is NULL.
qc_args: A list of arguments to be passed to wisp_plot_reflectance_data for the QC data plot (legend). Default is NULL.
sr_args: A list of arguments to be passed to wisp_plot_reflectance_data for the SR data plot (legend). Default is NULL.

Value

A plotly subplot object comparing the spectral signatures (Raw vs QC vs SR). If only raw_data is provided or valid, a single plot is returned.

Author

Alessandro Oggioni, phD alessandro.oggioni@cnr.it

Nicola Ghirardi, phD nicola.ghirardi@cnr.it

Examples

# example code
if (FALSE) { # \dontrun{
## Not run:
custom_raw <- list(legend_TSM = FALSE, legend_Chla = FALSE)
custom_qc <- list(legend_TSM = TRUE, legend_Chla = TRUE, legend_Kd = FALSE)
custom_sr <- list(legend_TSM = TRUE, legend_mishra_CHL = FALSE)

wisp_plot_comparison(
  raw_data = reflect_data,
  qc_data  = reflect_data_qc,
  sr_data  = reflect_data_sr,
  raw_args = custom_raw,
  qc_args  = custom_qc,
  sr_args  = custom_sr
)
print(fig_comparison)
} # }
## End (Not run)