Understand credits for spatial analysis

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. You can also update the analysis settings for the web map to display a warning message for analysis jobs with an estimated credit consumption that surpasses a specified threshold.

Note:

Credits will only be consumed for successful analysis jobs. Credits will not be consumed when the analysis fails or is cancelled.

If your organization has enabled credit budgeting and the expected number of credits exceeds the number of credits allocated to you, an error message appears 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 category:

Tool	Capability	Credits used
Aggregate Points	Spatial Analysis	1 credit per 1,000 features
Join Features
Summarize Center and Dispersion
Summarize Within
Summarize Nearby	Spatial Analysis (used when a line distance is chosen for Measurement type)	1 credit per 1,000 features
	Service Areas (used if a travel mode is chosen for Measurement type)	0.5 credits per service area
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.
Zonal Statistics as Table

Find locations tools

The following table summarizes the credit usage by tools in the Find locations category:

Tool	Capability	Credits used
Find by Attributes and Location (Find Existing Locations and Derive New Locations in Map Viewer Classic)	Spatial Analysis	1 credit per 1,000 features queried
Find Centroids	Spatial Analysis	1 credit per 1,000 features
Find Similar Locations
Create Viewshed	Spatial Analysis	None
Create Watersheds
Trace Downstream
Choose Best Facilities	Location-Allocation	0.1 credit per allocated demand point
Locate Regions	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.

Enrich data tools

The following table summarizes the credit usage by tools in the Enrich data category:

Tool	Capability	Credits used
Enrich Layer	ArcGIS GeoEnrichment Service	10 credits per 1,000 attributes (data variables multiplied by total feature records)
	Service Areas (used if a travel mode is chosen for Measurement type)	0.5 credits per service area

Analyze patterns tools

The following table summarizes the credit usage by tools in the Analyze patterns category:

Tool	Capability	Credits used
Calculate Density	Spatial Analysis	1 credit per 1,000 features
Find Point Clusters
Interpolate Points
Find Hot Spots	Spatial Analysis	1 credit per 1,000 features
	ArcGIS GeoEnrichment Service (used if Esri Population is chosen for Divide by)	10 credits per 1,000 attributes
Find Outliers	Spatial Analysis	1 credit per 1,000 features
	ArcGIS GeoEnrichment Service (used if Esri Population is chosen for Divide by)	10 credits per 1,000 attributes
Calculate Density (raster analysis)	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.
Interpolate Points (raster analysis)

Use proximity tools

The following table summarizes the credit usage by tools in the Use proximity category:

Tool	Capability	Credits used
Create Buffers	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
Distance Accumulation	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.
Distance Allocation
Optimal Path as Line
Optimal Path as Raster
Optimal Region Connections
Plan Routes	Fleet Routing	1 credit per vehicle route
Find Closest (Find Nearest in Map Viewer Classic)	Spatial Analysis (used when a line distance is chosen for Measurement type)	1 credit per 1,000 features
	Closest Facility Routes (used when a travel mode is chosen for Measurement type)	0.5 credits per closest facilities route
Calculate Travel Cost (Connect Origins to Destinations in Map Viewer Classic)	Spatial Analysis (used when a line distance is chosen for Measurement type)	1 credit per 1,000 features
	Route analysis (used when a travel mode is chosen for Measurement type)	0.005 credits per route

Manage data tools

The following table summarizes the credit usage by tools in the Manage data category:

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)
Convert Feature to Raster
Convert Raster to Feature
Nibble
Sample
Dissolve Boundaries	Spatial Analysis	1 credit per 1,000 features
Extract Data
Generate Tessellations
Merge Layers
Overlay Layers

Analyze terrain tools

The following table summarizes the credit usage by tools in the Analyze terrain category:

Tool	Capability	Credits used
Derive Continuous Flow	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.
Fill
Flow Accumulation
Flow Direction
Flow Distance
Geodesic Viewshed (Create Viewshed in Map Viewer Classic)
Surface Parameters
Watershed

Use deep learning tools

The following table summarizes the credit usage by tools in the Use deep learning category:

Tool	Capability	Credits used
Classify Objects Using Deep Learning	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.
Classify Pixels Using Deep Learning
Detect Change Using Deep Learning
Detect Objects Using Deep Learning

Use multidimensional analysis tools

The following table summarizes the credit usage by tools in the Use multidimensional analysis category:

Tool	Capability	Credits used
Aggregate Multidimensional Raster	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 Argument Statistics
Generate Multidimensional Anomaly
Generate Trend Raster
Multidimensional Principal Components
Predict Using Trend Raster

Raster functions

Raster functions use the Imagery Analysis capability.

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.