Rust Gall Incidence Stem Sweep Frequency

Audit independent rust-gall stem flags and actual assessed sweep-length exposure separately, no automatic disease attribution or missing-as-healthy inference. Caller independently verifies units, applicability and matching conditions; no operational recipe, safety certification, causal efficacy or legal/resource classification is inferred.

Description

Rust-gall incidence is the proportion of assessed observations with a recorded gall.

Rust-gall incidence is the proportion of assessed observations with a recorded gall.^[1]

A length-weighted burden answers a different question, and unassessed shoots must remain separate from negative observations. Use this tool to calculate rust gall incidence stem sweep frequency from the supplied measurements and assumptions.

When to use Rust Gall Incidence Stem Sweep Frequency

Use this tool to calculate rust gall incidence stem sweep frequency from the supplied measurements and assumptions. Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.

How to use Rust Gall Incidence Stem Sweep Frequency and understand its results

Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.
Enter observedRustGallFlags, knownStemSweepAssessmentFlags, observedStemSweepLengthsM, using the field meanings and rules below, then run the tool.
Read knownStemGallIncidence, knownGallPositiveSweepExposureFraction, unassessedStemCount. Interpret the fields using their units, signs and evidence conventions below.
If input validation fails, correct the reported field and run again. Before applying the result, check reference scope, model assumptions and any missing evidence or placeholder values.

Input field	Meaning	Value type	Requirement
observedRustGallFlags	Observed rust gall flags; binary 0/1 under the definitions below	list of number	Required
knownStemSweepAssessmentFlags	Known stem sweep assessment flags; binary 1=known, 0=unknown, in the order described below	list of number	Required
observedStemSweepLengthsM	Observed stem sweep lengths m	list of number	Required

Enter nonempty aligned binary gall flags, positive shoot lengths and binary known flags. Require at least one known shoot. Return positive known shoots divided by known shoot count, positive known shoot length divided by total known length and the unknown count. Both incidence and length-weighted burden are fractions in [0,1], despite the title's percent wording; multiply by 100 separately if needed.

incidenceFraction=Σ(known×gall)/Σknown; burdenFraction=Σ(known×gall×length)/Σ(known×length)

Use the exact units, boundary rules, ordering and missing-evidence conventions above.

Output field	Meaning	Value type
knownStemGallIncidence	Known Stem Gall Incidence; follow the units, sign, ordering and evidence convention stated above	number
knownGallPositiveSweepExposureFraction	Known Gall Positive Sweep Exposure Fraction; follow the units, sign, ordering and evidence convention stated above	number
unassessedStemCount	Unassessed Stem Count; follow the units, sign, ordering and evidence convention stated above	number

json

{
  "input": {
    "observedRustGallFlags": [
      1,
      0,
      1
    ],
    "knownStemSweepAssessmentFlags": [
      1,
      1,
      0
    ],
    "observedStemSweepLengthsM": [
      1,
      3,
      2
    ]
  },
  "output": {
    "knownStemGallIncidence": 0.5,
    "knownGallPositiveSweepExposureFraction": 0.25,
    "unassessedStemCount": 1
  }
}

Limitations and assumptions

A length-weighted burden answers a different question, and unassessed shoots must remain separate from negative observations. Interpretation depends on the units, sampling scope and exact model described above.

All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse evidence arrays fail validation; the specific bounds and alignment requirements are stated above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful result reporting false, no matches or missing evidence.

Alternative or Complementary methods

Use Heterobasidion Stump Infection Probability Calculator for this related task: Observed infection incidence counts infected assessed stumps relative to all assessed stumps.

Use Hawksworth Six-Class Mistletoe Rating when its separate inputs and assumptions fit the question: A Hawksworth-style dwarf-mistletoe rating uses separately assigned codes for three crown thirds.

References

Rust Gall Incidence Stem Sweep Frequency — tool.io

Similar or alternative tools

Heterobasidion Stump Infection Probability Calculator
Observed infection incidence counts infected assessed stumps relative to all assessed stumps.
Hawksworth Six-Class Mistletoe Rating
A Hawksworth-style dwarf-mistletoe rating uses separately assigned codes for three crown thirds.