Package | Description |
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org.apache.sis.metadata.iso.quality |
Data quality implementation.
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Class and Description |
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AbstractCompleteness
Presence and absence of features, their attributes and their relationships.
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AbstractElement
Type of test applied to the data specified by a data quality scope.
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AbstractLogicalConsistency
Degree of adherence to logical rules of data structure, attribution and relationships (data
structure can be conceptual, logical or physical).
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AbstractPositionalAccuracy
Accuracy of the position of features.
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AbstractResult
Type of test applied to the data specified by a data quality scope.
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AbstractTemporalAccuracy
Accuracy of the temporal attributes and temporal relationships of features.
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AbstractThematicAccuracy
Accuracy of quantitative attributes and the correctness of non-quantitative attributes
and of the classifications of features and their relationships.
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DefaultAbsoluteExternalPositionalAccuracy
Closeness of reported coordinate values to values accepted as or being true.
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DefaultAccuracyOfATimeMeasurement
Correctness of the temporal references of an item (reporting of error in time measurement).
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DefaultCompletenessCommission
Excess data present in the dataset, as described by the scope.
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DefaultCompletenessOmission
Data absent from the dataset, as described by the scope.
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DefaultConceptualConsistency
Adherence to rules of the conceptual schema.
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DefaultConformanceResult
Information about the outcome of evaluating the obtained value (or set of values) against
a specified acceptable conformance quality level.
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DefaultCoverageResult
Result of a data quality measure organising the measured values as a coverage.
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DefaultDataQuality
Quality information for the data specified by a data quality scope.
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DefaultDomainConsistency
Adherence of values to the value domains.
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DefaultFormatConsistency
Degree to which data is stored in accordance with the physical structure of
the dataset, as described by the scope.
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DefaultGriddedDataPositionalAccuracy
Closeness of gridded data position values to values accepted as or being true.
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DefaultNonQuantitativeAttributeAccuracy
Accuracy of non-quantitative attributes.
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DefaultQuantitativeAttributeAccuracy
Accuracy of quantitative attributes.
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DefaultQuantitativeResult
Information about the value (or set of values) obtained from applying a data quality measure.
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DefaultRelativeInternalPositionalAccuracy
Closeness of the relative positions of features in the scope to their respective
relative positions accepted as or being true.
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DefaultScope
Description of the data specified by the scope.
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DefaultTemporalConsistency
Correctness of ordered events or sequences, if reported.
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DefaultTemporalValidity
Validity of data specified by the scope with respect to time.
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DefaultThematicClassificationCorrectness
Comparison of the classes assigned to features or their attributes to a universe of discourse.
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DefaultTopologicalConsistency
Correctness of the explicitly encoded topological characteristics of the dataset as
described by the scope.
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DefaultUsability
Degree of adherence of a dataset to a specific set of user requirements.
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