Canyon vs Tube Passage Shape Classifier

Annotated passage morphology evidence, can overlap; not causal hydrological origin automatically inferred. Actual qualified binary feature columns: independently observed narrow tall incised profile, independently observed rounded profile. Unknowns/overlaps retained; no automatic physical identity, diagnosis or safe-use approval.

Description

Canyon and tube morphology can be represented by independently assessed feature annotations.

Canyon and tube morphology can be represented by independently assessed feature annotations.1

Compatible shapes may overlap, and unresolved features need to remain separate from witnessed findings.

When to use Canyon vs Tube Passage Shape Classifier

Use this tool to compare independently annotated evidence with the stated candidate rules. Establish the survey or observation scope, reference frame, units and independently applicable calibration or qualified plan.

How to use Canyon vs Tube Passage Shape Classifier and understand its results

  1. Establish the survey or observation scope, reference frame, units and independently applicable calibration or qualified plan.
  2. Enter independentlyObservedFeatureFlags, featureEvidenceKnownFlags, using the field meanings and rules below, then run the tool.
  3. Read compatibleClasses and witnessedClasses separately, then inspect unknownFeatureIndices. Compatibility with unknown required evidence is not full witnessing.
  4. Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
Input fieldMeaningValue typeRequirement
independentlyObservedFeatureFlagsIndependently observed feature flagslist of numberRequired
featureEvidenceKnownFlagsFeature evidence known flags; binary 1 means the matched observation is known, 0 means unknownlist of numberRequired

Supply two binary observed features and two binary known flags in the declared canyon/tube evidence order. The canyon candidate requires only its canyon feature, and the tube candidate only its tube feature; the other feature is ignored for each rule. Both may be witnessed. Unknown required evidence preserves compatibility but prevents witnessing; known absence excludes that candidate. Return compatible and witnessed lists and zero-based unknown positions.

CandidateQualified canyon evidenceQualified tube evidence
canyon-compatibleKnown presentIgnored
tube-compatibleIgnoredKnown present
compatible_c=∀j(rule_cj=−1 or known_j=0 or feature_j=rule_cj); witnessed_c=∀j(rule_cj=−1 or (known_j=1 and feature_j=rule_cj))

Use the matching field units and the exact boundary, ordering and reference rules above.

Output fieldMeaningValue type
resultQualified observed calculation or explicit referenceobject
result.compatibleClassesCandidates without a contradiction from a known required feature; unknown required features may remain.list
result.witnessedClassesCandidates whose required features are all known and present.list
result.unknownFeatureIndicesZero-based feature positions whose evidence was marked unknown.list
json
{
  "input": {
    "independentlyObservedFeatureFlags": [
      1,
      1
    ],
    "featureEvidenceKnownFlags": [
      1,
      1
    ]
  },
  "output": {
    "result": {
      "compatibleClasses": [
        "canyon-compatible",
        "tube-compatible"
      ],
      "witnessedClasses": [
        "canyon-compatible",
        "tube-compatible"
      ],
      "unknownFeatureIndices": []
    }
  }
}

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. Compatibility with unknown required features is not full witnessing; witnessing reflects only the supplied annotations.

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 Passage Width-to-Height Aspect Classifier: Passage aspect compares measured width with measured height. For a complementary comparison, use Passage Cross Section Area Estimator: An ordered surveyed passage boundary can define a simple polygonal cross-section.

References

  1. Canyon vs Tube Passage Shape Classifier — tool.io

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