Module org.opengis.geoapi
Package org.opengis.metadata.quality

Interface BasicMeasure

@UML(identifier="DQM_BasicMeasure", specification=ISO_19157) public interface BasicMeasure
Data quality basic measure. This concept is used to avoid the repetitive definition of the same concept. For example, many data quality measures are dealing with the concept of counting errors. Basic measures are used for the creation of data quality measures that share these commonalities.

Standardized values

Two principle categories of data quality basic measures are listed in ISO 19157 annex. The counting-related data quality basic measures are based on the concept of counting errors or correct items. The uncertainty-related data quality basic measures are based on the concept of modeling the uncertainty of measurements with statistical methods. The following table provides a non-exhaustive summary; see ISO 19157 for more complete descriptions and formulas. All identifiers should be in "ISO 19157" namespace.
Standardized basic measures derived from ISO 19157
Name definition Value type
Error indicator Indicator that an item is in error Boolean
Correctness indicator Indicator that an item is correct Boolean
Error count Total number of items that are subject to an error of a specified type Integer
Error rate Number of the erroneous items with respect to the total number of items that should have been present Real
Correct items rate Number of the correct items with respect to the total number of items that should have been present Real
LE50 Value uncertainty at 50% significance level Quantity
LE68.3 Value uncertainty at 68.3% significance level Quantity
LE90 Value uncertainty at 90% significance level Quantity
LE95 Value uncertainty at 95% significance level Quantity
LE99 Value uncertainty at 99% significance level Quantity
LE99.8 Value uncertainty at 99.8% significance level Quantity
LE50(r) Like LE50 where the standard deviation is estimated from redundant measurements Quantity
LE68.3(r) Like LE68.3 where the standard deviation is estimated from redundant measurements Quantity
LE90(r) Like LE90 where the standard deviation is estimated from redundant measurements Quantity
LE95(r) Like LE95 where the standard deviation is estimated from redundant measurements Quantity
LE99(r) Like LE99 where the standard deviation is estimated from redundant measurements Quantity
LE99.8(r) Like LE99.8 where the standard deviation is estimated from redundant measurements Quantity
CE39.4 Circular error at 39.4% significant level Quantity
CE50 Circular error at 50% significant level Quantity
CE90 Circular error at 90% significant level Quantity
CE95 Circular error at 95% significant level Quantity
CE99.8 Circular error at 99.8% significant level Quantity
SEP Spherical error probable Quantity
MRSE Mean radial spherical error Quantity
90% spherical accuracy standard Quantity
99% spherical accuracy standard Quantity

Note: rates can either be presented as percentage or as a ratio. The value unit in the quantitative result can be used to specify that the result is presented in percentage or as a ratio.

Since:
3.1