|
| Submodel name | Function | Input(s) | Output(s) |
|
| Generate Confusion Matrix | Constructs the raw and bias-adjusted confusion matrices | Thematic map under assessment, map of reference samples | Raw confusion matrix, bias-adjusted confusion matrix, map categories area, number of samples per map category |
|
| Calculate Accuracy Indices And CI | Calculates bias-adjusted accuracy indices along with their CI as well as error-adjusted estimates of the proportion area of the different categories with their CIs | Tables: raw confusion matrix, bias-adjusted confusion matrix, area per mapped category, number of samples per category | Overall, user, and producer accuracies with their respective half confidence intervals.
Error adjusted proportion of categories estimated with its CI |
|
| Adjust Matrix | Applies bias adjustment to the input raw matrix | Tables: map category’s area, raw confusion matrix, number of samples per map category | Bias-adjusted confusion matrix |
|
| Bootstrap | Elaborates a replicate of the input raw matrix by sorting samples with repetition | Raw confusion matrix | Bootstrapped replicate of the input matrix |
|
| Bootstrap CI | Calculates confidence intervals (CI) around an index at a given significance level (by default 5%) with bootstrapped estimates of this index | Table of the index values derived from a large number of replicates | Value of the average and half confidence interval |
|
