Global Polynomial Interpolation (Geostatisical Analyst)

Resumen

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

How_Global_Polynomial_Interpolation_works

Uso

Sintaxis

GlobalPolynomialInterpolation_ga (in_features, z_field, out_ga_layer, {out_raster}, {cell_size}, {power}, {weight_field})
ParámetroExplicaciónTipo de datos
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

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

Geostatistical Layer
out_raster
(Opcional)

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

Raster Dataset
cell_size
(Opcional)

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
(Opcional)

The order of the polynomial.

Long
weight_field
(Opcional)

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

Ejemplo de código

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)



Entornos

Temas relacionados

Información de licencia

ArcView: Requiere Geostatistical Analyst
ArcEditor: Requiere Geostatistical Analyst
ArcInfo: Requiere Geostatistical Analyst

7/11/2012