Environment settings for analysis in Portal for ArcGIS and ArcGIS Online.
Specifies whether to overwrite existing layers. When checked, if a layer with the same name already exists within your contents, it will be overwritten.
Specifies whether to keep the analysis dialog box open and enabled while the tool is processing. This setting allows you to make modifications to your analysis parameters while the previous analysis job continues to run. Analysis is an iterative process and by keeping the tool dialog box open, it allows you to make parameter changes and rerun your analysis.
Specifies whether the result layer created from your analysis will be a feature collection or a hosted feature layer.
Specifies the coordinate system of the result layer for raster analysis.
Specifies the coordinate system your analysis will use during execution of the GeoAnalytics analysis.
For GeoAnalytics, some analysis requires that processing be executed in a projected coordinate system. Any tool that has implemented binning of data or linear units requires a projected coordinate system.
Specifies the extent or boundary that will be used during execution of the analysis. All input features that are completely within or that intersect the specified extent will be used in the analysis.
Adjusts the extent of the output raster layer so it matches the cell alignment of the specified Snap Raster layer in raster analysis.
Specifies the cell size or resolution that will be used to create the output raster layer in raster analysis. The default output resolution is determined by the largest cell size of the input raster layer.
Specifies a layer that will be used to define your area of interest in raster analysis. Only those cells that fall within the analysis mask will be considered in the analysis operation.
GeoAnalytics results can be stored in either an ArcGIS Data Store and exposed as a feature layer in Portal for ArcGIS or a configured big data file share.
When you store a result in ArcGIS Data Store, in most cases, results should be stored in the spatiotemporal data store. This is the default. The following are reasons why you may want to store results in a relational data store:
You should not use a relational data store if you expect your GeoAnalytics results to increase and want to take advantage of the spatiotemporal big data store's capabilities to handle large amounts of data.
Distributes analysis across multiple Raster Processing service instances.
Tools that honor the Parallel processing factor environment allow you to control the number of raster processing service instances that can be used for processing your data.
If the tool doesn't honor the Processor type, or if the Processor type environment is set to CPU, the Parallel processing factor environment controls raster processing (CPU) service instances. If the Processor type is set to GPU, the Parallel processing factor environment controls the number of raster processing GPU instances.
By setting the Parallel processing factor, you can request the number of parallel workers that the raster analytics image server uses to process one raster analysis task. However, if the total number of parallel processes exceeds the maximum number of raster processing (CPU or GPU) service instances, the additional parallel processes will be queued.
If the Parallel processing factor is not specified, which is the default, the tool will use 80 percent of the maximum number of raster processing service instances. Either an integer number or a percentage can be specified as the parallel processing factor.
Tools that honor the Processor type environment allow you to choose where and how you want to process your data. You can process your data using the server computer CPU or GPU. If the Processor type environment is empty, the tool uses CPU to process the data. This is the default.
CPU processing can be parallelized across multiple cores and instances, as handled by the Parallel processing factor.
GPUs are effective at graphics and image processing, where their highly parallel structure makes them efficient in processing large blocks of data in a repetitive manner. The Raster Analysis tools that honor this environment can distribute its job across GPU instances at multiple raster analysis server machines, as handled by the Parallel processing factor.