Moving Window Kriging (Geostatisical Analyst)

ライセンス レベル:BasicStandardAdvanced

サマリ

Recalculates the Range, Nugget, and Partial Sill semivariogram parameters based on a smaller neighborhood, moving through all location points.

使用法

構文

GAMovingWindowKriging_ga (in_ga_model_source, in_datasets, in_locations, neighbors_max, out_featureclass, {cell_size}, {out_surface_grid})
パラメータ説明データ タイプ
in_ga_model_source

The geostatistical model source to be analyzed.

File; Geostatistical Layer
in_datasets

A GeostatisticalDatasets object.

Alternatively, it can be a semicolon-delimited string of elements. Each element is comprised of the following components:

  • The catalog path and name to a dataset or the name of a layer in the current table of contents, followed by a space.
  • A sequence of field names, each field name separated by a space. In the case of a raster, the cell values will be used.
Geostatistical Value Table
in_locations

Point locations where predictions will be performed.

Feature Layer
neighbors_max

Number of neighbors to use in the moving window.

Long
out_featureclass

Feature class storing the results.

Feature Class
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
out_surface_grid
(オプション)

The prediction values in the output feature class are interpolated onto a raster using the Local polynomial interpolation method.

Raster Dataset

コードのサンプル

MovingWindowKriging example 1 (Python window)

Predict values at select point locations.

import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
arcpy.GAMovingWindowKriging_ga(
    "C:/gapyexamples/data/kriging.lyr", "C:/gapyexamples/data/ca_ozone_pts.shp OZONE",
    "C:/gapyexamples/data/obs_pts.shp", "10", "C:/gapyexamples/output/outMWK", "", "")
MovingWindowKriging example 2 (stand-alone script)

Predict values at select point locations.

# Name: MovingWindowKriging_Example_02.py
# Description: The kriging model is automatically estimated for each neighborhood
#              as the kriging interpolation moves through all the location points.
# 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"
inPoints = "C:/gapyexamples/data/ca_ozone_pts.shp OZONE"
obsPoints = "C:/gapyexamples/data/obs_pts.shp"
maxNeighbors = 10
outPoints = "C:/gapyexamples/output/outMWK"

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

# Execute MovingWindowKriging
arcpy.GAMovingWindowKriging_ga(inLayer, inPoints, obsPoints, maxNeighbors,
                               outPoints)

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