Available with Image Analyst license.
Available with Spatial Analyst license.
With ArcGIS Image Analyst or ArcGIS Spatial Analyst, you can perform complex analysis on multidimensional raster data to explore scientific trends and anomalies.
Multidimensional data represents geospatial data captured at multiple times and multiple depths or heights. These data types are commonly used in atmospheric, oceanographic, and earth sciences. Multidimensional raster data can be captured by satellite observations in which data is collected at certain time intervals or generated from numerical models in which data is aggregated, interpolated, or simulated from other data sources.
For more information about multidimensional data, see Multidimensional raster data.
Note:
Multidimensional analysis tools are available with the Spatial Analyst extension. For more information, see An overview of the Multidimensional Analysis toolset in Spatial Analyst. Additional multidimensional tools are available in the Multidimension toolbox.
Multidimensional tab
The Multidimensional tab, which is enabled for a multidimensional raster layer or a multidimensional mosaic layer, provides tools and functionality to work with multidimensional raster data. Select a multidimensional raster layer or multidimensional mosaic dataset in the Contents pane to enable the Multidimensional tab.
For information about the capabilities available on the tab, see the Multidimensional tab topic.
Note:
Not all functionality on the tab requires the Image Analyst or Spatial Analyst extension. Tools in the Multidimension toolbox do not require an additional extension license.
Multidimensional analysis geoprocessing tools and raster functions
A suite of multidimensional geoprocessing tools is available in the Multidimensional Analysis toolset, available with Spatial Analyst. You can aggregate a data cube and find anomalies by performing analysis across dimensions and for multiple variables.
In addition to analysis, the tools in the Multidimension toolbox allow you to manage multidimensional data, and they do not require an Image Analyst or Spatial Analyst license.
Many of these tools are also available as raster functions. See the Data Management section in List of raster functions to learn more.
Automation using ArcPy
You can perform automated multidimensional data management and analysis using the extended Raster object and the Spatial Analyst module in ArcPy.
The Raster object supports multidimensional raster data, and many properties and functions provide management and analysis capabilities for multidimensional data. Because the Raster object is temporary, you can perform on-the-fly analysis, avoid intermediate data creation and storage, and save the results when the analysis is complete.
The Spatial Analyst module (arcpy.sa) is an extension of the ArcPy Python site package, and it provides access to functions, classes, and operators that support multidimensional analysis and other advanced raster analysis. In addition to on-the-fly analysis, you can run multidimensional analysis geoprocessing functions with the Spatial Analyst module to generate new datasets in a Python script.
Multidimensional map algebra
Map algebra allows you to run operators and functions on raster data. It is integrated with Python and can be used to perform mathematical operations with the Raster object.
It is important to understand the rules for combining multidimensional raster data using map algebra. For information about the multidimensional map algebra rules, see Work with operators in map algebra.
Multidimensional raster data publication
You can publish multidimensional mosaic datasets and multidimensional Cloud Raster Format (CRF) datasets as image services to be shared and analyzed in a web environment. For information about configuring and sharing multidimensional image services from ArcGIS Pro, see Share multidimensional raster data. For information about publishing multidimensional CRF data as a hosted imagery layer in ArcGIS Online, see Publish hosted imagery layers.