Available with Image Analyst license.
Available with Spatial Analyst license.
Creates a multidimensional raster layer by combining existing multidimensional raster variable data along a dimension.
Use the Dimension Definition parameter to first filter the input data you want to aggregate. For example, if you have 30 years of monthly data, but you only want to create an aggregated layer for the first 15 years, you can use the Dimension Definition parameter to specify the years to include in the analysis.
- Extract salinity data for the month of January over the 10-year period. Choose By Values, set Dimension to StdTime, and set Values to January.
- Slice salinity data over a depth range from 0 to 150 meters. Choose By Ranges, set Dimension to StdZ, and set Minimum Value to -150 and Maximum Value to 0.
- Extract salinity data for the first 10 days of every January over a 10-year period. Choose By Iteration, set Dimension to StdTime, set Start of first iteration and End of first iteration to the corresponding start and end of the iteration period, set Step to 1, and set Unit to Years.
Use the parameters in the Aggregation Definition group to choose the dimension to assess and the aggregation interval using a keyword, a value, or a range of values. For example, if you have 30 years of sea surface temperature data, collected daily and at every 5 meters depth up to 100 meters, you can use the different interval options for the following scenarios:
- Aggregate daily temperature data into monthly data, where the result is a multidimensional raster with 12 time slices, and each slice is the aggregate of each month across all the years. Choose Interval Keyword and set the keyword to Recurring Monthly.
- Aggregate daily temperature data into monthly data, where the result is a multidimensional raster with 360 slices, or 12 time slices per year (30 years x 12 months = 360 slices). Choose Interval Keyword and set the keyword to Monthly.
- Aggregate monthly temperature data into 4-month intervals. Choose Interval Value, set Value Interval to 4, and set Unit to Months.
- Aggregate temperature data from 0 to 25 meters, then from 25 to 50 meters, then from 50 to 100 meters. Choose Interval Ranges and specify minimum and maximum depths as 0 25; 25 50; 50 100.
The input multidimensional raster.
The variable or variables that will be aggregated along the given dimension.
Specifies the method to use to filter the input multidimensional data before performing the aggregation.
The dimension values to use to filter the input multidimensional data for analysis. This parameter is required when the Dimension Definition parameter is set to By Values.
The minimum and maximum dimension values to use to filter the input multidimensional data for analysis. This parameter is required when the Dimension Definition parameter is set to By Ranges.
Iteration definition parameters
The Iteration definition parameters allow you to define the dimension values to use to filter the input multidimensional data for analysis when the Dimension Definition parameter is set to By Iteration.
Specifies the mathematical method that will be used to combine the aggregated slices in an interval.
All options also have an equivalent with an Ignore NoData option. These will perform the mathematical operation on all valid pixels along the dimension and ignore any NoData pixels.
The aggregation dimension. This is the dimension along which the variables will be aggregated.
Specifies the dimension interval for which the data will be aggregated.
Specifies the keyword interval that will be used when aggregating along the dimension.
This parameter is required when the Type parameter is set to Interval Keyword.
The size of the interval used for the aggregation.
This parameter is required when the Type parameter is set to Interval Value.
Interval ranges specified in a table are used to aggregate groups of values. The minimum and maximum values specify the range to be included.
This parameter is required when the Type parameter is set to Interval Ranges.