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java.lang.Object com.esri.arcgis.geoprocessing.AbstractGPTool com.esri.arcgis.geoprocessing.tools.geostatisticalanalysttools.DensifySamplingNetwork
public class DensifySamplingNetwork
Uses The Densify Sampling Network tool is contained in the Geostatistical Analyst Tools tool box.
Field Summary |
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Fields inherited from class com.esri.arcgis.geoprocessing.AbstractGPTool |
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vals |
Constructor Summary | |
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DensifySamplingNetwork()
Creates the Densify Sampling Network tool with defaults. |
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DensifySamplingNetwork(Object inGeostatLayer,
Object outFeatureClass,
int numberOutputPoints)
Creates the Densify Sampling Network tool with the required parameters. |
Method Summary | |
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Object |
getInCandidatePointFeatures()
Returns the Input candidate point features parameter of this tool . |
Object |
getInGeostatLayer()
Returns the Input geostatistical layer parameter of this tool . |
Object |
getInhibitionDistance()
Returns the Inhibition distance parameter of this tool . |
Object |
getInWeightRaster()
Returns the Input weight raster [0;Inf] parameter of this tool . |
int |
getNumberOutputPoints()
Returns the Number of output points parameter of this tool . |
Object |
getOutFeatureClass()
Returns the Output point feature class parameter of this tool . |
String |
getSelectionCriteria()
Returns the Selection criteria parameter of this tool . |
double |
getThreshold()
Returns the Threshold value parameter of this tool . |
String |
getToolboxAlias()
Returns the alias of the tool box containing this tool. |
String |
getToolboxName()
Returns the name of the tool box containing this tool. |
String |
getToolName()
Returns the name of this tool. |
void |
setInCandidatePointFeatures(Object inCandidatePointFeatures)
Sets the Input candidate point features parameter of this tool . |
void |
setInGeostatLayer(Object inGeostatLayer)
Sets the Input geostatistical layer parameter of this tool . |
void |
setInhibitionDistance(Object inhibitionDistance)
Sets the Inhibition distance parameter of this tool . |
void |
setInWeightRaster(Object inWeightRaster)
Sets the Input weight raster [0;Inf] parameter of this tool . |
void |
setNumberOutputPoints(int numberOutputPoints)
Sets the Number of output points parameter of this tool . |
void |
setOutFeatureClass(Object outFeatureClass)
Sets the Output point feature class parameter of this tool . |
void |
setSelectionCriteria(String selectionCriteria)
Sets the Selection criteria parameter of this tool . |
void |
setThreshold(double threshold)
Sets the Threshold value parameter of this tool . |
Methods inherited from class com.esri.arcgis.geoprocessing.AbstractGPTool |
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getParameterValues, toString |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public DensifySamplingNetwork()
Initializes the array of tool parameters with the default values specified when the tool was created.
public DensifySamplingNetwork(Object inGeostatLayer, Object outFeatureClass, int numberOutputPoints)
Initializes the array of tool parameters with the values as specified for the required parameters and with the default values for the other parameters.
inGeostatLayer
- input a geostatistical layer resulting from a Kriging model.outFeatureClass
- the name of the output feature class.numberOutputPoints
- specify how many sample locations to generate.Method Detail |
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public Object getInGeostatLayer()
public void setInGeostatLayer(Object inGeostatLayer)
inGeostatLayer
- input a geostatistical layer resulting from a Kriging model.public Object getOutFeatureClass()
public void setOutFeatureClass(Object outFeatureClass)
outFeatureClass
- the name of the output feature class.public int getNumberOutputPoints()
public void setNumberOutputPoints(int numberOutputPoints)
numberOutputPoints
- specify how many sample locations to generate.public String getSelectionCriteria()
public void setSelectionCriteria(String selectionCriteria)
selectionCriteria
- methods to densify a sampling network.public double getThreshold()
public void setThreshold(double threshold)
threshold
- the threshold value used to densify the sampling network, applicable only when STDERR_THRESHOLD or QUARTILE_THRESHOLD selection criteria are used.public Object getInWeightRaster()
public void setInWeightRaster(Object inWeightRaster)
inWeightRaster
- a raster used to determine which locations to weight for preference.public Object getInCandidatePointFeatures()
public void setInCandidatePointFeatures(Object inCandidatePointFeatures)
inCandidatePointFeatures
- sample locations to pick from.public Object getInhibitionDistance()
public void setInhibitionDistance(Object inhibitionDistance)
inhibitionDistance
- used to prevent any samples being placed within this distance from each other.public String getToolName()
public String getToolboxName()
public String getToolboxAlias()
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