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Analyzing multidimensional data

Multidimensional data represent geophysical, environmental, climatological, or atmospheric phenomena that occur over space (two dimensional), time (another dimension), and/or height or depth (two more dimensions). Sometimes described as a data cube, image cube, or multidimensional raster, these datasets can also contain multiple variables such as precipitation, soil moisture, and temperature. Multidimensional raster data can be generated from satellite observations captured at different time intervals, or it can be generated from numerical models that aggregate, interpolate, or simulate data from other sources.

Because multidimensional data is so complex, it can be difficult to extract actionable information from it. ArcGIS offers powerful tools and user experiences to help you analyze multidimensional data.

A contextual tab in ArcGIS Pro provides an intuitive user experience to work with multiple variables and step through time and depth dimensions. Functions and tools for analyzing multidimensional data let you aggregate your data into by time, height, or depth (yearly averages, for example); generate multidimensional anomalies, where each slice shows the deviations from the global average; generate trend rasters and perform predictive modeling; or build a multidimensional transpose to optimize performance when accessing data along dimensions. You can also quickly chart multidimensional data using the temporal profile, including spatial aggregation and charting trends.

In addition to the user interface and geoprocessing tools for multidimensional raster analysis in ArcGIS Pro, ArcPy and the ArcGIS API for Python also support developer (and automated) workflows.

Explore the following resources to learn more about analyzing multidimensional data in ArcGIS. (Not sure where to start? Look for the star by Esri's most helpful resources.)

In ArcGIS Pro, all multidimensional imagery analysis tools are available through ArcGIS Image Analyst, and a subset of these tools are available with ArcGIS Spatial Analyst.

Imagery Workflows resources

Community-supported tools and best practices for working with and automating imagery and remote sensing workflows:

ArcGIS Help

Reference material for ArcGIS Pro, ArcGIS Online, and ArcGIS Enterprise:

ArcGIS blogs, articles, story maps, and white papers

Supplemental guidance about concepts, software functionality, and workflows:


Esri-produced videos that clarify and demonstrate concepts, software functionality, and workflows:

Learn Lessons

Guided, hands-on lessons based on real-world problems:

Esri Training

Authoritative learning resources focusing on key ArcGIS skills:

Developer resources

Resources and support for automating and customizing workflows:

Esri Community

Online places for the Esri community to connect, collaborate, and share experiences:

* Esri's top picks

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