Global Polynomial Interpolation (Geostatisical Analyst)

ライセンス レベル:BasicStandardAdvanced

サマリ

Fits a smooth surface that is defined by a mathematical function (a polynomial) to the input sample points.

How_Global_Polynomial_Interpolation_works

使用法

構文

GlobalPolynomialInterpolation_ga (in_features, z_field, {out_ga_layer}, {out_raster}, {cell_size}, {power}, {weight_field})
パラメータ説明データ タイプ
in_features

The input point features containing the z-values to be interpolated.

Feature Layer
z_field

Field that holds a height or magnitude value for each point. This can be a numeric field or the Shape field if the input features contain z-values or m-values.

Field
out_ga_layer
(オプション)

The geostatistical layer produced. This layer is required output only if no output raster is requested.

Geostatistical Layer
out_raster
(オプション)

The output raster. This raster is required output only if no output geostatistical layer is requested.

Raster Dataset
cell_size
(オプション)

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
power
(オプション)

The order of the polynomial.

Long
weight_field
(オプション)

Used to emphasize an observation. The larger the weight, the more impact it has on the prediction. For coincident observations, assign the largest weight to the most reliable measurement.

Field

コードのサンプル

GlobalPolynomialInterpolation example 1 (Python window)

Interpolate point features onto a rectangular raster.

import arcpy
arcpy.env.workspace = "C:/gapysamples/data"
arcpy.GlobalPolynomialInterpolation_ga("ca_ozone_pts", "OZONE", "outGPI",
                                       "C:/gapyexamples/output/gpiout", "2000", "2", "")
GlobalPolynomialInterpolation example 2 (stand-alone script)

Interpolate point features onto a rectangular raster.

# Name: GlobalPolynomialInterpolation_Example_02.py
# Description: Global Polynomial interpolation fits a smooth surface that is
#              defined by a mathematical function (a polynomial) to the input 
#              sample points. The Global Polynomial surface changes gradually 
#              and captures coarse-scale pattern in the data.  Global Polynomial
#              interpolation is like taking a piece of paper and fitting it 
#              between the raised points (raised to the height of value).
# Requirements: Geostatistical Analyst Extension

# Import system modules
import arcpy

# Set environment settings
arcpy.env.workspace = "C:/gapyexamples/data"

# Set local variables
inPointFeatures = "ca_ozone_pts.shp"
zField = "ozone"
outLayer = "outGPI"
outRaster = "C:/gapyexamples/output/gpiout"
cellSize = 2000.0
power = 2

# Check out the ArcGIS Geostatistical Analyst extension license
arcpy.CheckOutExtension("GeoStats")

# Execute GlobalPolynomialInterpolation
arcpy.GlobalPolynomialInterpolation_ga(inPointFeatures, zField, outLayer, 
                                       outRaster, cellSize, power)

環境

関連トピック

ライセンス情報

ArcGIS for Desktop Basic: 次のものが必要 Geostatistical Analyst
ArcGIS for Desktop Standard: 次のものが必要 Geostatistical Analyst
ArcGIS for Desktop Advanced: 次のものが必要 Geostatistical Analyst
4/26/2014