Skip To Content

Analyze multidimensional data

Multidimensional data represents geophysical, environmental, climatological, or atmospheric phenomena that occur over space (two dimensional), time (another dimension), 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 complex, it can be difficult to extract actionable information from it. ArcGIS provides tools and user experiences to help you analyze multidimensional data.

Intuitive user experiences such as the contextual tab in ArcGIS Pro or the interactive experiences in Map Viewer in ArcGIS Online allow you to work with multiple variables and step through time and depth dimensions. Functions and tools for analyzing multidimensional data allow you to aggregate data by time, height, or depth (yearly averages, for example); generate multidimensional anomalies in which 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, and the dimension profile.

Additionally, ArcPy and ArcGIS API for Python support developer (and automated) workflows. To scale your workflows, all of these capabilities are also available in ArcGIS Enterprise.

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 is available with ArcGIS Spatial Analyst. You can scale your analysis using ArcGIS Image Server for ArcGIS Enterprise or use a complete SaaS environment with ArcGIS Image for ArcGIS Online.

Imagery Workflows resources

Review the community-supported tools and best practices for working with and automating imagery and remote sensing workflows:

ArcGIS help

Review the following links on reference materials for ArcGIS products:

ArcGIS blogs, articles, story maps, and technical papers

Review the following supplemental guidance about concepts, software functionality, and workflows:


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

Training and tutorials

Review the following guided lessons and tutorials based on real-world problems and key ArcGIS skills:

Developer resources

Review the following resources and support for automating and customizing workflows:

Esri Community

Use the online imagery community to connect, collaborate, and share experiences:

Related topics