Label | Explanation | Data Type |
Input Multidimensional Raster | The input multidimensional raster dataset. | Raster Dataset; Raster Layer; Mosaic Dataset; Mosaic Layer; Image Service; File |
Dimension | The aggregation dimension. This is the dimension along which the variables will be aggregated. | String |
Aggregation Method (Optional) | Specifies the mathematical method that will be used to combine the aggregated slices in an interval. When the method is set to Custom, the Aggregation Function parameter becomes active.
| String |
Variables [Dimension Info] (Description) (Optional) | The variable or variables that will be aggregated along the given dimension. If no variable is specified, all variables with the selected dimension will be aggregated. For example, to aggregate daily temperature data into monthly average values, specify temperature as the variable to be aggregated. If you do not specify any variables and you have both daily temperature and daily precipitation variables, both variables will be aggregated into monthly averages and the output multidimensional raster will include both variables. | String |
Aggregation Definition (Optional) | Specifies the dimension interval for which the data will be aggregated.
| String |
Keyword Interval
(Optional) | Specifies the keyword interval that will be used when aggregating along the dimension. This parameter is required when the Aggregation Definition parameter is set to Interval Keyword and the aggregation must be across time.
| String |
Value Interval (Optional) | The size of the interval that will be used for the aggregation. This parameter is required when the Aggregation Definition parameter is set to Interval Value. For example, to aggregate 30 years of monthly temperature data into 5-year increments, enter 5 as the Value Interval, and specify Unit as Years. | Double |
Unit (Optional) | The unit that will be used for the Value Interval parameter. This parameter is required when the Dimension parameter is a time field and the Aggregation Definition parameter is set to Interval Value. If you are aggregating anything other than time, this option will not be available and the unit for the interval value will match the variable unit of the input multidimensional raster data.
| String |
Range (Optional) | Interval ranges specified in a value table will be used to aggregate groups of values. The value table consists of pairs of minimum and maximum range values, with data type Double or Date. This parameter is required when the Aggregation Definition parameter is set to Interval Ranges. | Value Table |
Aggregation Function
(Optional) | A custom raster function that will be used to compute the pixel values of the aggregated rasters. The input is a raster function JSON object or an .rft.xml file created from a function chain or a custom Python raster function. This parameter is required when the Aggregation Method parameter is set to Custom. | File; String |
Ignore NoData (Optional) | Specifies whether NoData values are ignored in the analysis.
| Boolean |
Dimensionless
(Optional) | Specifies whether the layer will have dimension values. This parameter is only active if a single slice is selected to create a layer.
| Boolean |
Percentile value (Optional) |
The percentile to calculate. The default is 90, indicating the 90th percentile. The values can range from 0 to 100. The 0th percentile is essentially equivalent to the minimum statistic, and the 100th percentile is equivalent to maximum. A value of 50 will produce essentially the same result as the median statistic. This option is only available if the Statistics type parameter is set to Percentile. | Double |
Percentile interpolation type
(Optional) | Specifies the method of percentile interpolation that will be used when there is an even number of values from the input raster to be calculated.
| String |
Return Value
Label | Explanation | Data Type | Output Multidimensional Raster | The output Cloud Raster Format (CRF) multidimensional raster dataset. | Raster |