Geoprocessing tool computes a geometric intersection of the input features and identity features.
Input Features can be point, multipoint, line, or polygon. The inputs cannot be annotation features, dimension features, or network features.
Identity Features must be polygons or have the same geometry type as the Input Features.
When using this tool with point input and polygon Identity Features, points that fall directly on a polygon boundary will be added to the output twice, once for each polygon that is part of the boundary. Running the Intersect tool on the output of this scenario will identify the duplicate points so you can decide which one to keep.
When the Input Features are lines and the Identity Features are polygons, and the Keep relationships parameter is checked (relationship set to KEEP_RELATIONSHIPS in Python), the output line feature class will have two additional fields, LEFT_poly and RIGHT_poly. These fields contain the feature ID of the Identity Features on the left and right side of the line feature.
Attribute values from the input feature classes will be copied to the output feature class. However, if the input is a layer or layers created by the Make Feature Layer tool and a field's Use Ratio Policy is checked, then a ratio of the input attribute value is calculated for the output attribute value. When Use Ratio Policy is enabled, whenever a feature in an overlay operation is split, the attributes of the resulting features are a ratio of the attribute value of the input feature. The output value is based on the ratio in which the input feature geometry was divided. For example, if the input geometry was divided equally, each new feature's attribute value is assigned one-half of the value of the input feature's attribute value. Use Ratio Policy only applies to numeric field types.
Geoprocessing tools do not honor geodatabase feature class or table field split policies.
This tool will use a tiling process to handle very large datasets for better performance and scalability. For more details, see Geoprocessing with large datasets.
This tool may generate multipart features in the output even if all inputs were single part. If multipart features are not desired, use the Multipart to Singlepart tool on the output feature class.
This tool honors the Parallel Processing Factor environment. If the environment is not set (the default) or is set to 0, parallel processing will be disabled. Setting the environment to 100 will cause parallel processing to be enabled.
| Parameter | Explanation |
|---|---|
| in_features | The input feature class or layer. |
| identity_features | The identity feature class or layer. Must be polygons or the same geometry type as the input features. |
| out_feature_class (Optional) | The feature class that will be created and to which the results will be written. |
| cluster_tolerance (Optional) | The minimum distance separating all feature coordinates (nodes and vertices) as well as the distance a coordinate can move in X or Y (or both). |
| esri_out_feature_service_name (Optional) | The name of the optional feature service to create on the federated server containing the result of this tool. If no name is specified an output feature service will not be created. |
Identity example 1 (Python window)
The following Python window script demonstrates how to use the Identity function in immediate mode.
import arcpy
from arcpy import env
env.workspace = "c:/data/data.gdb"
arcpy.Identity_analysis("wells", "counties", "wells_w_county_info")
Identity example 2 (stand-alone Python script)
The following stand-alone Python script is a simple example of how to apply the Identity function in scripting.
# IdentityWells.py
# Description: Simple example showing use of Identity tool
# Import system modules
import arcpy
from arcpy import env
# Set the workspace
env.workspace = "C:/data/data.gdb"
# Set local parameters
inFeatures = "wells"
idFeatures = "counties"
outFeatures = "wells_w_county_info"
# Process: Use the Identity function
arcpy.Identity_analysis (inFeatures, idFeatures, outFeatures)
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