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.

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:

ToolCapabilityCredits used

Aggregate Points

Spatial Analysis

1 credit per 1,000 features

Join Features

Summarize Nearby

Summarize Within

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.

Zonal Statistics as Table

Find locations tools

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

ToolCapabilityCredits 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)

Find Centroids

Spatial Analysis

1 credit per 1,000 features

Find Similar Locations (available in Map Viewer Classic)

Create Viewshed

Spatial Analysis

None

Create Watersheds

Trace Downstream

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:

ToolCapabilityCredits used

Enrich Layer

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:

ToolCapabilityCredits used

Calculate Density

Spatial Analysis

1 credit per 1,000 features

Find Hot Spots

Find Outliers

Find Point Clusters

Interpolate Points

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 toolbox:

ToolCapabilityCredits 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

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:

ToolCapabilityCredits 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

Sample

Dissolve Boundaries

Spatial Analysis

1 credit per 1,000 features

Extract Data (available in Map Viewer Classic)

Generate Tessellations

Merge Layers (available in Map Viewer Classic)

Overlay Layers

Analyze terrain tools

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

ToolCapabilityCredits 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.

Derive Continuous Flow

Surface Parameters

Watershed

Use deep learning tools

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

ToolCapabilityCredits 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 Objects Using Deep Learning

Use multidimensional analysis tools

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

ToolCapabilityCredits 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

Predict Using Trend Raster