Data Type
Set of meta data of a time series.
|
Name |
Type |
|
AcquisitionMethodValue |
|
|
InterpolationTypeValue |
|
|
CharacterString |
|
|
CharacterString |
|
|
CharacterString |
Attribute type: energy:acquisitionMethod |
The method for variable acquisition (e.g. simulation, measured).
1
AcquisitionMethodValue (Enumeration)
|
Code |
Text |
|
|
measurement |
measurement |
Measured data. |
|
simulation |
simulation |
Simulated data. |
|
calibratedSimulation |
calibratedSimulation |
Data of a calibrated simulation. |
|
estimation |
estimation |
Estimated data. |
|
unknown |
unknown |
Unknown acquisition method. |
Attribute type: energy:interpolationType |
Mathematical rule required for the variable interpolation, defined in WaterML:http://def.seegrid.csiro.au/sissvoc/ogc-def/resource?uri=http://www.opengis.net/def/waterml/2.0/interpolationType/.
1
InterpolationTypeValue (Enumeration)
|
Code |
Text |
|
|
averageInPrecedingInterval |
averageInPrecedingInterval |
Value represents the average value over the preceding interval. |
|
averageInSucceedingInterval |
averageInSucceedingInterval |
Value represents the average value over the following interval. |
|
constantInPrecedingInterval |
constantInPrecedingInterval |
Value is constant in the preceding interval. |
|
constantInSucceedingInterval |
constantInSucceedingInterval |
Value is constant in the succeeding interval. |
|
continuous |
continuous |
A continuous time series indicates the observation result is the value of a property at the indicated instant in time. The points are essentially connected and interpolation may occur between points in order to estimate the value of the property between points. The appropriate time spacing between successive points to minimise interpolation errors is related to rate of change (wrt time) of the property. |
|
discontinuous |
discontinuous |
The sampling of the property occurs such that it is not possible to regard the series as continuous. The time between samples is too large to classify the measurements as continuous. |
|
instantaneousTotal |
instantaneousTotal |
Value represents a total attributed to a specific time instant. This is normally generated from an event based measuring device such as a tipping bucket rain gauge. |
|
maximumInPrecedingInterval |
maximumInPrecedingInterval |
Value represents the maximum value that was measured during the preceding time interval. |
|
maximumInSucceedingInterval |
maximumInSucceedingInterval |
Value represents the maximum value for the following interval. |
|
minimumInPrecedingInterval |
minimumInPrecedingInterval |
Value represents the minimum value that was measured during the preceding time interval. |
|
minimumInSucceedingInterval |
minimumInSucceedingInterval |
Value represents the minimum value for the following interval. |
|
precedingTotal |
precedingTotal |
Value represents the total of measurements taken within the previous time interval. |
|
succeedingTotal |
succeedingTotal |
Value represents the average value over the following interval. |
Attribute type: energy:qualityDescription |
Description of the data quality (e.g. bad, average, good, excellent).
0..1
CharacterString
Attribute type: energy:source |
Designation of the data source.
0..1
CharacterString
Attribute type: energy:thematicDescription |
Thematic description of the time series.
0..1
CharacterString (Type)