Geoprocessing tool reference > Analysis toolbox > Extract toolset > Tools
Clip (Analysis) |
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Release 9.2
Last modified January 13, 2009 |
Print all topics in : "Tools" |
Extracts input features that overlay the clip features.
Learn more about how Clip (Analysis) works
Illustration
Usage tips
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The spatial reference of the Output Feature Class will be the same as the Input Features.
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The Output Feature Class will have the attributes of the Input Features.
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The Input Features may be any geometry type, but Clip Features must have polygon geometry.
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Current map layers may be used to define Input Features and Clip Features. When using layers, only the currently selected features are used in the Clip operation.
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When processing datasets that contain any individual feature with a very large number of vertices (e.g., hundreds of thousands to millions of vertices within a single feature), some geometric processing operations may run out of memory. For more details, see Geoprocessing with large datasets.
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The following environment settings affect this tool: Coordinate system, Extent , XY Tolerance, Z Tolerance, M Tolerance, XY Resolution, Z Resolution, M Resolution, Output XY domain, Output Z domain, Output M , domain, Output has M values, Output has Z values, Default Z value, Configuration keyword, Output Spatial Grid.
Command line syntax
An overview of the Command Line window
Clip_analysis <in_features> <clip_features> <out_feature_class> {cluster_tolerance}
| Parameter | Explanation | Data Type |
| <in_features> |
The features to be clipped. |
Feature Layer |
| <clip_features> |
The features used to clip the input features. |
Feature Layer |
| <out_feature_class> |
The feature class to be created. |
Feature Class |
| {cluster_tolerance} |
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). You can set the value to be higher for data that has less coordinate accuracy and lower for datasets with extremely high accuracy. |
Linear unit |
Command line example
workspace E:\arcgis\ArcTutor\Geoprocessing\San_Diego Clip_analysis majorrds.shp study_quads.shp study_roads.shp
Scripting syntax
About getting started with writing geoprocessing scripts
Clip_analysis (in_features, clip_features, out_feature_class, cluster_tolerance)
| Parameter | Explanation | Data Type |
| in_features (Required) |
The features to be clipped. |
Feature Layer |
| clip_features (Required) |
The features used to clip the input features. |
Feature Layer |
| out_feature_class (Required) |
The feature class to be created. |
Feature Class |
| 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). You can set the value to be higher for data that has less coordinate accuracy and lower for datasets with extremely high accuracy. |
Linear unit |
Data types for geoprocessing tool parameters
Script example
# Purpose: Determine the type of vegetation within 100 meters of all stream crossings
# Create the Geoprocessor object
import arcgisscripting
gp = arcgisscripting.create()
try:
# Set the workspace (to avoid having to type in the full path to the data every time)
gp.Workspace = "c:/projects/RedRiverBasin/data.mdb"
# Process: Find all stream crossings (points)
gp.Intersect("roads ; streams ", "stream_crossings", "#", 1.5, "point")
# Process: Buffer all stream crossings by 100 meters
gp.Buffer("stream_crossings","stream_crossings_100m", "100 meters")
# Process: Clip the vegetation feature class to stream_crossing_100m
gp.Clip_analysis("vegetation", "stream_crossings_100m", "veg_within_100m_of_crossings")
# Process: Summarize how much (area) of each type of vegetation is found within 100 meters of the stream crossings
gp.Statistics("veg_within_100m_of_crossings", "veg_within_100m_of_crossings_stats","shape_area sum","veg_type")
except:
# If an error occurred while running a tool print the messages
print gp.GetMessages()