ArcGIS Pro

Let's do data science Part II: Multidimensional Raster Analysis in ArcGIS Pro

There is so much you can already do to work with multidimensional data in ArcGIS Pro, and we’re keeping the ball rolling with ArcGIS Pro 2.5. With this release, there are new tools and enhancements to manage, process and analyze multidimensional rasters. These include a new user experience, new geoprocessing tools, new raster functions and arcPy API enhancements that allow you to extract and manage subsets of a multidimensional raster, calculate trends in your data, and perform predictive analysis.

New user experience for multidimensional rasters

A new contextual tab in ArcGIS Pro makes it easier to work with multidimensional raster layers or multidimensional mosaic dataset layers in your map.

Multidimensional raster tab in ArcGIS Pro

The new user experience means you can intuitively work with multiple variables and step through time and depth dimensions. You get direct access to the new functions and tools that are used to manage, analyze and visualize multidimensional data. You can also quickly chart multidimensional data using the temporal profile, which has been enhanced with spatial aggregation and charting trends.

New tools for multidimensional management and analysis

We’ve added three new tools to analyze your time series raster data:

We’ve also added two new tools so you can better manage your data cube.

Manage multidimensional tools

Additionally, the following tools have been updated:

New raster functions for on-the-fly equivalents of geoprocessing tools

Four new raster functions were added for on-the-fly processing:

New Raster Functions

 

New Python capabilities

Developers can take advantage of new classes, new functions, and new methods and properties added to the Python raster object that allow you to work with multidimensional rasters.

New classes:

New functions include:

Overall, there are a lot of tools to try out for developers and users alike who dwell in science!  Stay tuned for more interesting features coming soon!

About the authors

Julia is a product engineer on the Raster team. She has been with Esri since 2014 and has a background in remote sensing and GIS for environmental research. In addition to image analysis, she has a passion for music, running, good food and animal welfare.

Product manager on the Imagery team at Esri, with a zeal for remote sensing and everything imagery.

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