Caldera vs Summit Crater Classifier
Screen independently mapped collapse versus excavation/vent evidence for caller caldera/crater definitions, no diameter-only identity. Positive caller evidence rules only; missing evidence retains compatible possibilities, overlaps not forced to one identity. Caller independently establishes units, regime, calibration and applicability; this does not establish design-code compliance, authenticity, operational safety, treatment efficacy or a validated forecast.
Description
A caldera or summit-crater interpretation depends on the origin of a depression, such as collapse or excavation.
A caldera or summit-crater interpretation depends on the origin of a depression, such as collapse or excavation.1
This checker reviews your mapped origin evidence instead of assigning an identity from diameter alone.
When to use Caldera vs Summit Crater Classifier
Use this tool when you need to review whether explicit class requirements are contradicted or fully witnessed. Prepare matched observations and independently established site, specimen, units, datum, and calibration context.
How to use Caldera vs Summit Crater Classifier and understand its results
- Prepare matched observations and independently established site, specimen, units, datum, and calibration context.
- Enter callerDepressionOriginClassIds, callerDepressionOriginRequiredEvidence, observedDepressionOriginEvidence, knownDepressionOriginEvidenceFlags, following the field table and rules below, then run the tool.
- Read contradictionFreeCallerClasses, fullyWitnessedCallerClasses. Use the output meanings below to interpret units, signs, flags, and any nested result fields.
- Correct reported input issues and run again. For a successful result, check the stated evidence coverage and assumptions before using it in your review.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| callerDepressionOriginClassIds | Caller depression origin class ids | list of string | Required |
| callerDepressionOriginRequiredEvidence | Caller depression origin required evidence | numeric matrix | Required |
| observedDepressionOriginEvidence | Observed depression origin evidence | list of number | Required |
| knownDepressionOriginEvidenceFlags | Known depression origin evidence flags | list of number | Required |
Provide unique nonblank class IDs, a nonempty rectangular binary requirements matrix with one row per class and one column per evidence item, aligned binary observed and known flags, and at least one required positive witness per class. A required known-zero observation contradicts a class. Unknown requirements leave it compatible but not fully witnessed. Return all compatible and all fully witnessed class IDs in supplied order; a zero requirement means that column is ignored, not a required negative fact.
compatible_c=∀j(required_cj=0 or known_j=0 or observed_j=1); witnessed_c=∀j(required_cj=0 or (known_j=1 and observed_j=1)) Symbols follow the input and output meanings and the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| contradictionFreeCallerClasses | Contradiction free caller classes | list of string |
| fullyWitnessedCallerClasses | Fully witnessed caller classes | list of string |
{
"input": {
"callerDepressionOriginClassIds": [
"class-a",
"class-b"
],
"callerDepressionOriginRequiredEvidence": [
[
1,
0
],
[
0,
1
]
],
"observedDepressionOriginEvidence": [
1,
0
],
"knownDepressionOriginEvidenceFlags": [
1,
0
]
},
"output": {
"contradictionFreeCallerClasses": [
"class-a",
"class-b"
],
"fullyWitnessedCallerClasses": [
"class-a"
]
}
}Limitations and assumptions
These are user-defined positive-evidence screens. Multiple classes may remain, no class may qualify, and missing evidence must be resolved independently. Fully witnessed requirements do not establish that the supplied classification rules are legally or scientifically complete.
Missing required fields, unknown fields, wrong types, and violated calculation rules are input issues. Numeric values must be finite; nonfinite results are rejected. Evidence arrays must be dense, with no missing cells. Numeric observation lists allow at most 10,000 entries, subject to any smaller bounds stated above. String lists allow at most 128 strings of at most 128 characters. Numeric matrices are limited to 128 rows and 128 entries per row, with rectangularity required where stated.
Alternative or Complementary methods
For a related review, use Sector Collapse Scarp Volume Estimate Calculator: Source scarps and avalanche deposits describe different parts of a collapse. Integrating mapped source cross sections gives a source volume; multiplying by a supplied bulking ratio creates a separate deposit scenario. For a complementary step, use Scoria vs Pumice Vesicularity Split Checker: Scoria and pumice descriptions require more than a porosity number. This tool screens your density, composition, and vesicle evidence against explicit class requirements, keeping overlapping or incomplete possibilities visible.
References
-
Caldera vs Summit Crater Classifier — tool.io
Similar or alternative tools
- Sector Collapse Scarp Volume Estimate Calculator
Source scarps and avalanche deposits describe different parts of a collapse. Integrating mapped source cross sections gives a source volume; multiplying by a supplied bulking ratio creates a separate deposit scenario.
- Scoria vs Pumice Vesicularity Split Checker
Scoria and pumice descriptions require more than a porosity number. This tool screens your density, composition, and vesicle evidence against explicit class requirements, keeping overlapping or incomplete possibilities visible.