| ラベル | 説明 | データ タイプ |
Input features | The input point features containing the z-values to be interpolated. | Feature Layer |
Z value 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 |
Output geostatistical layer (オプション) | The geostatistical layer produced. This layer is required output only if no output raster is requested. | Geostatistical Layer |
Output raster (オプション) | The output raster. This raster is required output only if no output geostatistical layer is requested. | Raster Dataset |
Output cell size (オプション) | The cell size at which the output raster will be created. This value can be explicitly set in the Environments by the Cell Size parameter. 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 |
Input absolute barrier features (オプション) | Absolute barrier features using non-Euclidean distances rather than line-of-sight distances. | Feature Layer |
Bandwidth (オプション) | Used to specify the maximum distance at which data points are used for prediction. With increasing bandwidth, prediction bias increases and prediction variance decreases. | Double |
Number of iterations (オプション) | The iteration count controls the accuracy of the numerical solution because the model solves the diffusion equation numerically. The larger this number, the more accurate the predictions, yet the longer the processing time. The more complex the barrier's geometry and the larger the bandwidth, the more iterations are required for accurate predictions. | 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 |
Input additive barrier raster (オプション) | The travel distance from one raster cell to the next based on this formula: (average cost value in the neighboring cells) x (distance between cell centers) | Raster Layer |
Input cumulative barrier raster (オプション) |
The travel distance from one raster cell to the next based on this formula: (difference between cost values in the neighboring cells) + (distance between cell centers) | Raster Layer |
Input flow barrier raster (オプション) | A flow barrier is used when interpolating data with preferential direction of data variation, based on this formula: Indicator (cost values in the to neighboring cell > cost values in the from neighboring cell) * (cost values in the to neighboring cell - cost values in the from neighboring cell) + (distance between cell centers), where indicator(true) = 1 and indicator(false) = 0. | Raster Layer |
Geostatistical Analyst のライセンスで利用可能。
サマリー
Interpolates a surface using a kernel that is based upon the heat equation and allows one to use raster and feature barriers to redefine distances between input points.
Learn more about how Diffusion Interpolation With Barriers works
使用法
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The absolute feature barrier employs a non-Euclidean distance approach rather than a line-of-sight approach. The line-of-sight approach requires that a straight line between the measured location and the location where the prediction is required do not intersect the barrier feature. If the distance around the barrier is within the searching neighborhood specifications, then it will be considered in this non-Euclidean distance approach.
The processing time is dependent on the complexity of the barrier feature classes geometry. Tools in the Generalization toolset can be used to create a new feature class by smoothing or deleting some of these features.
For the Input additive barrier raster parameter, the values must be greater than or equal to 1. A value of 1 implies that there is no barrier.
The Input cumulative barrier raster parameter should have values that are the same units as the x,y coordinates. If neighboring cells have the same values, then it implies that there is no barrier at that location.
Input flow barrier raster should have values that have the same units as the x,y coordinates. If the neighboring cells have the same values, then it implies that there is no barrier at that location. Also, if you go from a high to a low value, then it implies that there is no barrier.
A value of NoData in any of the optional raster barrier inputs has the same effect as that of having an input absolute barrier feature.
パラメーター
arcpy.ga.DiffusionInterpolationWithBarriers(in_features, z_field, {out_ga_layer}, {out_raster}, {cell_size}, {in_barrier_features}, {bandwidth}, {number_iterations}, {weight_field}, {in_additive_barrier_raster}, {in_cumulative_barrier_raster}, {in_flow_barrier_raster})| 名前 | 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 in the Environments by the Cell Size parameter. 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 |
in_barrier_features (オプション) | Absolute barrier features using non-Euclidean distances rather than line-of-sight distances. | Feature Layer |
bandwidth (オプション) | Used to specify the maximum distance at which data points are used for prediction. With increasing bandwidth, prediction bias increases and prediction variance decreases. | Double |
number_iterations (オプション) | The iteration count controls the accuracy of the numerical solution because the model solves the diffusion equation numerically. The larger this number, the more accurate the predictions, yet the longer the processing time. The more complex the barrier's geometry and the larger the bandwidth, the more iterations are required for accurate predictions. | 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 |
in_additive_barrier_raster (オプション) | The travel distance from one raster cell to the next based on this formula: (average cost value in the neighboring cells) x (distance between cell centers) | Raster Layer |
in_cumulative_barrier_raster (オプション) |
The travel distance from one raster cell to the next based on this formula: (difference between cost values in the neighboring cells) + (distance between cell centers) | Raster Layer |
in_flow_barrier_raster (オプション) | A flow barrier is used when interpolating data with preferential direction of data variation, based on this formula: Indicator (cost values in the to neighboring cell > cost values in the from neighboring cell) * (cost values in the to neighboring cell - cost values in the from neighboring cell) + (distance between cell centers), where indicator(true) = 1 and indicator(false) = 0. | Raster Layer |
コードのサンプル
Interpolate point features that are constrained by a barrier onto a rectangular raster.
import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
arcpy.DiffusionInterpolationWithBarriers_ga("ca_ozone_pts", "OZONE", "outDIWB",
"C:/gapyexamples/output/diwbout", "2000",
"ca_outline", "", "10", "", "", "", "")Interpolate point features that are constrained by a barrier onto a rectangular raster.
# Name: DiffusionInterpolationWithBarriers_Example_02.py
# Description: Diffusion Interpolation with Barriers uses a kernel which is
# based upon the heat equation and describes the variation in
# temperature with time in a homogeneous medium.
# 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 = "outDIWB"
outRaster = "C:/gapyexamples/output/diwbout"
cellSize = 2000.0
power = 2
inBarrier = "ca_outline.shp"
bandwidth = ""
iterations = 10
weightField = ""
addBarrier = ""
cumuBarrier = ""
flowBarrier = ""
# Execute DiffusionInterpolationWithBarriers
arcpy.DiffusionInterpolationWithBarriers_ga(inPointFeatures, zField, outLayer,
outRaster, cellSize, inBarrier,
bandwidth, iterations, weightField,
addBarrier, cumuBarrier, flowBarrier)ライセンス情報
- Basic: 次のものが必要 Geostatistical Analyst
- Standard: 次のものが必要 Geostatistical Analyst
- Advanced: 次のものが必要 Geostatistical Analyst