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Survey Visit Detection Opportunity Tool

Count supplied completed visits and an explicit independent equal-probability detection scenario; no survey design or species detectability is inferred.

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Description

Return probability of at least one detection under supplied independent opportunities.

Conservation monitoring depends on survey effort, detection assumptions, area/time bases and explicit unknown-status policies. A local probability or coverage ratio describes supplied observations and models without establishing population abundance, ecological success or legal protection.

Return probability of at least one detection under supplied independent opportunities.

When to use this tool

Use Survey Visit Detection Opportunity when checking a supplied conservation-monitoring, geometry or evidence-basis convention.

How to use the tool and how it works

  1. Enter scheduledVisits, missedVisits, suppliedPerVisitProbability. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read completedVisits, conditionalAtLeastOne. Use the output convention below.

Return probability of at least one detection under supplied independent opportunities. Require whole 0 <= missedVisits <= scheduledVisits and per-visit probability in [0,1]; completed = scheduled-missed, probability = 1-(1-p)^completed.1

Input fieldMeaning and unitsAccepted input
scheduledVisitsScheduled VisitsRequired. Safe integer; minimum 0.
missedVisitsMissed VisitsRequired. Safe integer; minimum 0.
suppliedPerVisitProbabilitySupplied Per Visit ProbabilityRequired. Finite number; minimum 0; maximum 1.
Output fieldInterpretationReturned shape
completedVisitsCompleted VisitsRequired. Safe integer.
conditionalAtLeastOneConditional At Least OneRequired. Finite number.
json
{
  "input": {
    "scheduledVisits": 3,
    "missedVisits": 1,
    "suppliedPerVisitProbability": 0.5
  },
  "output": {
    "completedVisits": 2,
    "conditionalAtLeastOne": 0.75
  }
}

Limitations and assumptions

  • This assumes independent identical detection opportunities conditional on presence; zero completed visits gives zero, not evidence of absence.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use an appropriate ecological sampling and detection model, verified field records and actual habitat geometry for substantive conservation inference.

References

  1. Calculation and input contract: conservation-biology/survey-visit-detection-opportunity — tool.io

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