In this issue we will practice creating a barrier to predict surface containing nuclear interpolation (Kernel Interpolation).
Nuclear plug containing disorders value is to be predicted by the local trend (linear model) and the input points match. These linear models which together form a plane prediction.
This figure shows an example, shows how nuclear work interpolation in one dimension; colored line is most suitable for linear trend partially surrounding points.
This figure shows a smooth and after they are combined, the local lines is how to proceed.
The drawing depicts a prediction using a surface barrier containing nuclear interpolation created.
Note: In the river hydrological meteorological applications, the model based on the shortest distance between points may be preferable.
The method may be further processed by redefining obstacle distance between the input points. It is not a linear distance between the points is calculated, but is calculated from the total shortest straight line connecting the point sequences and surrounding obstacles. For example, this technique allows you to interpolation in a lake water pollutant levels by not adjusting the ratio obstacle method can obtain a more accurate estimate of irregular shape near the coastline.
Kernel Interpolation With Barriers
is no absolute obstacle interpolation
Exercise : In this exercise, including the use of nuclear interpolation method to create obstacles to a surface strength of the vibrations in the statistical analysis toolbox.
Estimated Completion Time: 20 minutes
Tools:
1) ArcGIS Desktop 10.6 (basic, standard or advanced)
2) ArcGIS Geostatistical analysis
3) ArcGIS Spatial Analyst
The first step : download data
https://www.esri.com/training/courses/57630433851d31e02a43eec8-16470/Content/dataDownload.html
Step two : Open the map document and access the ArcToolbox window, on the standard toolbar, click ArcToolbox button to open the ArcToolbox window.
In the ArcToolbox window, expand the statistical analysis tools.
Statistical analysis of the data analysis toolbox comprising, generating various output surface geostatistical layer converted into other formats, for geostatistical simulation tool and sensitivity analysis, and assist in the design sampling grid.
These tools are divided into five groups tool. In the next step, you will use the tool set to use interpolation with disabilities nuclear interpolation to create a prediction surface. Interpolation toolset includes performing interpolation of geoprocessing tools to perform interpolation (such as Geostatistical Wizard), you can use it as a standalone tool, or use in ModelBuilder and Python.
The third step : using geoprocessing tools for data interpolation
expand interpolation, and double-click with obstacles nuclear interpolation.
Tip : You can also use the search window to find and open the Kernel Interpolation With Barriers tool.
For input features, select the monitoring station.
If necessary, the Z value field, select the intensity of this field for each point has a height or magnitude value.
Because you are using this tool, you can choose to create a geostatistical layer and a raster output. In this exercise, you will create a geostatistical layer to evaluate the output side.
For output geostatistical layer, type KIGSLayer.
For this interpolation method, you do not need to use any obstacles. For seismic intensity, there is no obstacle to any sudden change in the intensity of vibration.
Accept the remaining defaults and click OK.
KIGS surface layer prediction as a geostatistical layer is generated, and appear in the map document. This layer model parameter interpolation is stored, and other elements of the definition, such as the source and symbols. The face reflects your data conversion and smooth surface created by the vicinity search. Layers default color scheme and classification of faults, which can be changed in the properties of the layer.
In the table of contents, move directly to the monitoring station KIGS layer below the layer.
Step four : change parameters
in order to predict the face restrictions in Japan, you will now change the parameters.
In the catalog, right-click and select Properties KIGS layer.
If necessary, click the Scope tab.
To set the range, select the rectangular boundaries, and then click OK.
In the catalog, right-click the layer data box and select Properties.
If necessary, click Data Frame tab.
For the crop option, choose Crop to Shape, and then click to specify shapes.
Cropping data in the dialog box, select the feature contours.
For a layer, select the border.
Click OK to close the Data Frame crop box.
Click OK to close the properties.
KIGS layer (predicted surface) are now cut, so it does not display the data in the study area beyond the boundary, and cover all areas within the boundary.
Examine the relationship between the predicted and the actual intensity.
You will notice a similar predictive value of a slight expansion of the range in intensity point.
Step Five : Exploring the visual surface
in the directory, right-click and select Properties KIGS layer.
Click the Tags tab.
If necessary, in the case of display, click the Fill contour lines, and then check the filling contour complex options.
Check the characterization, and scaling checkbox improvement.
Click OK.
In the catalog, right-click and select Zoom KIGS layer to layer.
Use appropriate tools to navigate and explore the map.
Visually determine, KIGS layer represents the true strength of the vibration.
Save your map.
Exit ArcMAP.
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