Available with Geostatistical Analyst license.
Summary
Exports a Geostatistical layer to a raster.
Learn more about fundamentals of creating a raster from a geostatistical layer
Usage
Select the number of predictions to make for each cell in the horizontal and vertical directions. The value assigned to each output raster cell will be the average of all predictions within that cell.
The name you give to the output raster determines the format in which it is created. When not saving to a geodatabase, specify an extension of .tif for a TIFF raster format, .img for ERDAS IMAGINE format, or no extension for an Esri Grid raster format.
Syntax
GALayerToGrid(in_geostat_layer, out_surface_grid, {cell_size}, {points_per_block_horz}, {points_per_block_vert})
Parameter | Explanation | Data Type |
in_geostat_layer | The geostatistical layer to be analyzed. | Geostatistical Layer |
out_surface_grid | The raster to be created. | Raster Dataset |
cell_size (Optional) | The cell size at which the output raster will be created. This value can be explicitly set under Raster Analysis from the Environment Settings. If not set, it is the shorter of the width or the height of the extent of the input point features, in the input spatial reference, divided by 250. | Analysis Cell Size |
points_per_block_horz (Optional) | The number of predictions for each cell in the horizontal direction for block interpolation. | Long |
points_per_block_vert (Optional) | The number of predictions for each cell in the vertical direction for block interpolation. | Long |
Code sample
GALayerToGrid example 1 (Python window)
Convert a geostatistical layer into a raster.
import arcpy
from arcpy import env
arcpy.GALayerToGrid_ga("C:/gapyexamples/data/kriging.lyr",
"C:/gapyexamples/output/krig_grid", "2000", "1", "1")
GALayerToGrid example 2 (stand-alone script)
Convert a geostatistical layer into a raster.
# Name: GALayerToGrid_Example_02.py
# Description: Exports a geostatistical layer to grid.
# Requirements: Geostatistical Analyst Extension
# Import system modules
import arcpy
# Set environment settings
arcpy.env.workspace = "C:/gapyexamples/data"
# Set local variables
inLayer = "C:/gapyexamples/data/kriging.lyr"
outGrid = "C:/gapyexamples/output/krig_grid"
cellSize = 2000
cellptsHor = 1
cellptsVer = 1
# Check out the ArcGIS Geostatistical Analyst extension license
arcpy.CheckOutExtension("GeoStats")
# Execute GALayerToGrid
arcpy.GALayerToGrid_ga(inLayer, outGrid, cellSize, cellptsHor, cellptsVer)
Environments
Licensing information
- Basic: Requires Geostatistical Analyst
- Standard: Requires Geostatistical Analyst
- Advanced: Requires Geostatistical Analyst