Available with Geostatistical Analyst license.
Summary
Extracts cell values from a set of rasters to a table, based on a point or polygon feature class.
Usage
This tool is primarily designed to analyze the output from the Gaussian Geostatistical Simulations tool.
All the rasters must have the same spatial reference and cell size.
If a point feature class is used, the output table has a record for each point and each raster that has data. Polygonal data will be treated as point data. The cell center of the input rasters will determine the number of points and will also be used to decide whether the cell is contained within the polygon or not.
Values outside the raster's extent will be ignored.
Multipart feature classes are not supported.
In the case of coincident points, the last one encountered will be used and the rest will be ignored. In the same vane, if overlapping polygons are encountered only one of the intersected features will be processed.
If Spatial Analyst is available, the Sample tool can also be used. However, the output table needs to be transposed if the values are to be graphed.
Syntax
ExtractValuesToTable_ga (in_features, in_rasters, out_table, {out_raster_names_table}, {add_warning_field})
Parameter | Explanation | Data Type |
in_features | The points or polygon features to be created. | Feature Layer |
in_rasters [in_raster,...] | The rasters must all have the same extent, coordinate system, and cell size. | Raster Layer; Mosaic Layer |
out_table | The output table contains a record for each point and each raster that has data. If polygon features are input, they are converted to points that coincide with the raster cell centers. | Table |
out_raster_names_table (Optional) | Saves the names of the Input rasters to disc. | Table |
add_warning_field (Optional) | Records if input features are partially or completely covered by the Input rasters.
| Boolean |
Code sample
ExtractValuesToTable example 1 (Python window)
Extract the cell values from a raster to a table, based on a point feature class.
import arcpy
from arcpy import env
env.workspace = "C:/gapyexamples/data"
arcpy.ExtractValuesToTable_ga("C:/gapyexamples/data/ca_ozone_pts.shp",
"C:/gapyexamples/data/inraster",
"C:/gapyexamples/output/outEVFR.dbf", "", "")
ExtractValuesToTable example 2 (stand-alone script)
Extract the cell values from a raster to a table, based on a point feature class.
# Name: ExtractValuesToTable_Example_02.py
# Description: Extract the cell values from a raster, based on
# a point feature class, to a table.
# Requirements: Geostatistical Analyst Extension
# Import system modules
import arcpy
from arcpy import env
# Set environment settings
env.workspace = "C:/gapyexamples/data"
# Set local variables
inPoints = "C:/gapyexamples/data/ca_ozone_pts.shp"
raster = "C:/gapyexamples/data/inraster"
outTable = "C:/gapyexamples/output/outEVFR.dbf"
# Check out the ArcGIS Geostatistical Analyst extension license
arcpy.CheckOutExtension("GeoStats")
# Execute ExtractValuesToTable
arcpy.ExtractValuesToTable_ga(inPoints, raster, outTable, "", "")
Environments
Licensing information
- ArcGIS Desktop Basic: Requires Geostatistical Analyst
- ArcGIS Desktop Standard: Requires Geostatistical Analyst
- ArcGIS Desktop Advanced: Requires Geostatistical Analyst