Credits are the currency used across ArcGIS and are consumed for specific transactions, such as performing spatial analysis. The number of credits used when an analysis tool is run depends on the type of tool and the size of the dataset (number of input features or number of pixels processed).
You can click the Estimate credits button at the bottom of a tool pane to run a credit estimation before you run a tool. The input parameters and other required parameters must be set before estimating credit usage. The credit estimation is the maximum number of credits that the analysis could require; in some cases, the actual number of credits used by the analysis may be less than the estimated number of credits.
If your organization has enabled credit budgeting and the expected number of credits exceeds the number of credits allocated to you, ArcGIS Online displays an error message and prevents you from submitting the job.
Note:
The following tools do not consume credits when run in ArcGIS Online:
- Create Viewshed
- Create Watershed
- Trace Downstream
- Enrich Layer (when a custom GeoEnrichment service is used and the enrichment area is not defined using a travel mode)
Summarize data tools
The following table summarizes the credit usage by tools in the Summarize data toolbox:
| Tool | Capability | Credits used |
|---|---|---|
Spatial Analysis | 1 credit per 1,000 features | |
Summarize Center and Dispersion (available in Map Viewer Classic) | ||
Zonal Statistics (Summarize Raster Within in Map Viewer Classic) | Imagery Analysis | Credit usage for imagery analysis depends on the number of pixels or features processed, which incorporates the number of bands in multiband imagery and the number of slices in multidimensional data. |
Find locations tools
The following table summarizes the credit usage by tools in the Find locations toolbox:
| Tool | Capability | Credits used |
|---|---|---|
Find Existing Locations (available in Map Viewer Classic) | Spatial Analysis | 1 credit per 1,000 features queried |
Derive New Locations (available in Map Viewer Classic) | ||
Spatial Analysis | 1 credit per 1,000 features | |
Find Similar Locations (available in Map Viewer Classic) | ||
Spatial Analysis | None | |
Choose Best Facilities (available in Map Viewer Classic) | Location-Allocation | 0.1 credit per allocated demand point |
Enrich data tools
The following table summarizes the credit usage by tools in the Enrich data toolbox:
| Tool | Capability | Credits used |
|---|---|---|
ArcGIS GeoEnrichment Service | 10 credits per 1,000 attributes (data variables multiplied by total feature records) |
Analyze patterns tools
The following table summarizes the credit usage by tools in the Analyze patterns toolbox:
| Tool | Capability | Credits used |
|---|---|---|
Spatial Analysis | 1 credit per 1,000 features | |
Imagery Analysis | Credit usage for imagery analysis depends on the number of pixels or features processed, which incorporates the number of bands in multiband imagery and the number of slices in multidimensional data. | |
Use proximity tools
The following table summarizes the credit usage by tools in the Use proximity toolbox:
| Tool | Capability | Credits used |
|---|---|---|
Spatial Analysis | 1 credit per 1,000 features | |
Generate Travel Areas (Create Drive-Time Areas in Map Viewer Classic) | Service Areas | 0.5 credits per service area |
Imagery Analysis | Credit usage for imagery analysis depends on the number of pixels or features processed, which incorporates the number of bands in multiband imagery and the number of slices in multidimensional data. | |
Multi-Vehicle Routes | 1 credit per vehicle route | |
Find Closest (Find Nearest in Map Viewer Classic) | Closest Facility Routes | 0.5 credits per closest facilities route |
Calculate Travel Cost (Connect Origins to Destinations in Map Viewer Classic) | Simple Routes | 0.005 credits per simple route |
Manage data tools
The following table summarizes the credit usage by tools in the Manage data toolbox:
| Tool | Capability | Credits used |
|---|---|---|
Extract Raster (available in Map Viewer Classic) | Imagery Analysis | Credit usage for imagery analysis depends on the number of pixels or features processed, which incorporates the number of bands in multiband imagery and the number of slices in multidimensional data. |
Remap Values (available in Map Viewer Classic) | ||
Spatial Analysis | 1 credit per 1,000 features | |
Extract Data (available in Map Viewer Classic) | ||
Merge Layers (available in Map Viewer Classic) | ||
Analyze terrain tools
The following table summarizes the credit usage by tools in the Analyze terrain toolbox:
| Tool | Capability | Credits used |
|---|---|---|
Geodesic Viewshed (Create Viewshed in Map Viewer Classic) | Imagery Analysis | Credit usage for imagery analysis depends on the number of pixels or features processed, which incorporates the number of bands in multiband imagery and the number of slices in multidimensional data. |
Use deep learning tools
The following table summarizes the credit usage by tools in the Use deep learning toolbox:
| Tool | Capability | Credits used |
|---|---|---|
Imagery Analysis | Credit usage for imagery analysis depends on the number of pixels or features processed, which incorporates the number of bands in multiband imagery and the number of slices in multidimensional data. | |
Use multidimensional analysis tools
The following table summarizes the credit usage by tools in the Use multidimensional analysis toolbox:
| Tool | Capability | Credits used |
|---|---|---|
Imagery Analysis | Credit usage for imagery analysis depends on the number of pixels or features processed, which incorporates the number of bands in multiband imagery and the number of slices in multidimensional data. | |