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Calculate accuracy metrics for AGB estimates

Accuracy.Rd

This function calculates accuracy metrics for Above Ground Biomass (AGB) estimates from plot data and map data, grouped into specified intervals. It computes means, root mean squared differences (RMSD), variances, and other statistics per AGB bin and overall, saving the results to a CSV file.

Usage

Accuracy(df, intervals = 8, dir = "results", str = "")

Arguments

df

Dataframe containing plot and map AGB data. Defaults to plotsBACC.

intervals

Number of intervals for binning AGB values. Must be 6, 7, or 8. Defaults to 8.

dir

Directory where the results will be saved. Defaults to resultsFolder.

str

String to append to the output CSV file name. Defaults to an empty string.

Value

A dataframe with accuracy metrics for each AGB bin and a total row.

Examples

# \donttest{
# Example with the right column structure
# (Output of invDasymetry would include plotAGB_10 column)
example_agb_data <- data.frame(
  plotAGB_10 = c(120, 150, 180, 200, 220),
  mapAGB = c(110, 140, 190, 180, 240),
  SIZE_HA = c(0.5, 0.75, 1.0, 1.2, 0.9),
  x = c(1, 2, 3, 4, 5),
  y = c(10, 20, 30, 40, 50)
)

# Run accuracy assessment
results <- Accuracy(df = example_agb_data, intervals = 6)
print(results)
#>    AGB bin (Mg/ha)  n AGBref (Mg/ha) AGBmap (Mg/ha) RMSD varPlot
#> 1            0-100  0            135            125   10       1
#> 2          100-150  2            190            185   16       1
#> 3          150-200  2            220            240   20       1
#> 13           total 10            174            172   15       1
# }