Multidimensional analysis with GIS

September 9th, 2019, Published in Articles: PositionIT

Because of the multi-dimensional aspect of the data, it is often described as a data cube, image cube, or multidimensional raster. In ArcGIS Pro, users can work with scientific data in multiple formats: netCDF, GRIB or HDF layers, space-time cubes, mosaic datasets, or, with the release of ArcGIS Pro 2.4, they can use multidimensional raster datasets in Cloud Raster Format (CRF). ArcGIS Pro 2.4 offers new multidimensional functionality which include the optimised CRF, new analysis and management tools, extended raster functions and map algebra, and new functionality in the ArcPy API. The CRF is an Esri-created raster format, optimised for large files in a distributed processing and storage environment. New geoprocessing tools lets users manage their multidimensional raster data or perform analysis to get new information. The Build Multidimensional Info tool recognises mosaic datasets as a valid multidimensional dataset, while the Build Multidimensional Transpose tool transposes or re-indexes data to optimise performance when accessing data along dimensions. The Aggregate Multidimensional Raster tool helps calculate averages, and the Generate Multidimensional Anomalies tool shows the deviations from the global average. ArcGIS Pro 2.4 supports multidimensional raster data. If you are a Python user, you’ll be happy to know that the arcpy.Raster class now supports multidimensional raster data.

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