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Got it 👍. When you say “Multidimensional Working Group Ideas”, that could mean a few different things depending on your context—like brainstorming themes for a cross-disciplinary team, designing collaborative structures, or even creating innovative problem-solving groups. To make this useful, I’ll give you a structured set…
In 2024, a group I am involved with that is associated with the World Bank Group were surveyed for 100 topics of interest (for 2025) for building, maintaining, and growing Communities of Practice (CoP - post questions if you are not familiar with CoPs in practice) My idea was how it might be possible to speed up the pace…
This is a great resource that uses multidimensional data to better understand global wind speeds and potential for wind farm siting.
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,…
Multidimensional data represents data captured at multiple times or multiple depths or heights. This data type is 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…
This is a great resource to understand a netcdf file and if it is CF compliant or not... Describes the nature and content of an input netCDF dataset. List all the variables along with their dimensions and their attributes. Describe NetCDF File (Multidimension)Â
StoryMap: Multidimensional workflows in ArcGIS
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