Blunder Detection Residual Outlier Flag Calculator
Actual adjustment residual absolute-threshold review, no infer a blunder cause, statistical outlier test or remove survey observations. Inclusive boundary unflagged, threshold independently applicable.
Description
Adjustment residuals can be screened against an independently justified absolute review threshold.
Adjustment residuals can be screened against an independently justified absolute review threshold.1
A flagged residual identifies a review item without proving a blunder or removing a measurement.
When to use Blunder Detection Residual Outlier Flag Calculator
Use this tool to obtain flaggedResidualIndices, signedResidualThresholdExcessesMeters from the supplied records using the stated calculation. Establish the survey or observation scope, reference frame, units and independently applicable calibration or qualified plan.
How to use Blunder Detection Residual Outlier Flag Calculator and understand its results
- Establish the survey or observation scope, reference frame, units and independently applicable calibration or qualified plan.
- Enter actualAdjustmentResidualsMeters, callerIndependentAbsoluteResidualReviewThresholdMeters, using the field meanings and rules below, then run the tool.
- Read result.flaggedResidualIndices, result.signedResidualThresholdExcessesMeters. Use the units and sign conventions below, and review any unknown records separately.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| actualAdjustmentResidualsMeters | Actual adjustment residuals meters | list of number | Required |
| callerIndependentAbsoluteResidualReviewThresholdMeters | Caller independent absolute residual review threshold meters | number | Required |
Require a nonempty finite residual list and a positive independently applicable threshold in metres. Flag zero-based indices only when absolute residual is strictly greater than threshold; equality is not flagged. Return absolute residual-minus-threshold for every row, retaining negative in-threshold margins.
flagged={i:abs(residual_i)>threshold}; excess_i=abs(residual_i)−threshold Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Qualified observed calculation or explicit reference | object |
| result.flaggedResidualIndices | Zero-based residuals whose absolute magnitude strictly exceeds the caller threshold. | list |
| result.signedResidualThresholdExcessesMeters | Absolute residual minus threshold for each input row; negative values are below the threshold. | list |
{
"input": {
"actualAdjustmentResidualsMeters": [
1,
-3,
2
],
"callerIndependentAbsoluteResidualReviewThresholdMeters": 2
},
"output": {
"result": {
"flaggedResidualIndices": [
1
],
"signedResidualThresholdExcessesMeters": [
-1,
1,
0
]
}
}
}Limitations and assumptions
The actual observation coverage, calibration and qualified plan determine applicability. A numerical result does not establish survey accuracy, route suitability, atmosphere conditions or equipment adequacy beyond the declared comparison.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries, subject to the narrower lengths and code rules above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Misclosure Ratio Quality Grade Checker (1% rule): Loop misclosure can be expressed as closure magnitude relative to surveyed length. For a complementary comparison, use Survey Loop Misclosure Error Calculator: A closed-loop survey ideally returns to its start in the adopted coordinate frame.
References
Similar or alternative tools
- Misclosure Ratio Quality Grade Checker (1% rule)
Loop misclosure can be expressed as closure magnitude relative to surveyed length.
- Survey Loop Misclosure Error Calculator
A closed-loop survey ideally returns to its start in the adopted coordinate frame.