GMS:Interpolating with 3D Scatter Points: Difference between revisions

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{{3D Scatter Point links}}
{{3D Scatter Point links}}
Scatter point sets are used for interpolation to other data types such as TINs, grids, and meshes. A 3D grid can be created which will just enclose the scatter points by using the [[GMS:3D Scatter Point Module#Bounding Grid|'''''Bounding Grid''''']] command in the ''Scatter Points'' menu. Interpolation is useful for such tasks as contouring or setting up input data to a model. Since no interpolation scheme is superior in all cases, several [[GMS:Interpolation|interpolation techniques]] are provided in GMS.
Scatter point sets are used for interpolation to other data types such as TINs, grids, and meshes.  


The basic approach to performing an interpolation is to select an appropriate interpolation scheme and interpolation parameters, and then interpolate to the desired object using one of the [[GMS:Interpolation Commands|3D Interpolation Commands]].
Interpolation is useful for such tasks as contouring or setting up input data to a model. Since no interpolation scheme is superior in all cases, several [[GMS:Interpolation|interpolation techniques]] are provided in GMS.
 
The basic approach to performing an interpolation is to select an appropriate interpolation scheme and interpolation parameters, and then interpolate to the desired object using one of the [[GMS:Interpolation Commands|3D interpolation commands]].
 
The interpolation options are selected using the [[GMS:3D Interpolation Options|''Interpolation Options'' dialog]] accessed through the '''Interpolation Options''' command in the ''Interpolation'' menu. Once a set of options is selected, those options are used for all subsequent interpolation commands.  Interpolation options are saved in the project file.
 
A 3D grid can be created which will enclose the scatter points by using the [[GMS:3D Scatter Point Commands#Bounding Grid|'''Bounding 3D Grid''']] command in the ''Scatter Points'' menu. A 2D grid can also be created using the [[GMS:3D Scatter Point Commands#Bounding Grid|'''Bounding 2D Grid''']] command in the ''Scatter Points'' menu.
 
==Interpolation Methods==
{{GMS 3D Interpolation Methods}}
 
==Related Topics==
* [[GMS:Interpolation|Interpolation]]


The interpolation options are selected using the [[GMS:3D Interpolation Options|Interpolation Options dialog]] accessed through the '''''Interp. Options''''' command in the ''Interpolation'' menu. Once a set of options is selected, those options are used for all subsequent interpolation commands.


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{{Navbox GMS}}
[[Category:3D Scatter Point]]
[[Category:3D Scatter Point]]

Latest revision as of 15:27, 28 November 2017

3D Scatter Point Module
Sample Interp.png
3D Scatter Point
Interpolating with 3D Scatter Points
Converting 3D Scatter Points to Other Data Types
Bounding Grid
More
3D Scatter Point Display Options
3D Scatter Point Tool Palette
Active/Inactive Points
Inverse Distance Weighted
3D Scatter Point Commands

Scatter point sets are used for interpolation to other data types such as TINs, grids, and meshes.

Interpolation is useful for such tasks as contouring or setting up input data to a model. Since no interpolation scheme is superior in all cases, several interpolation techniques are provided in GMS.

The basic approach to performing an interpolation is to select an appropriate interpolation scheme and interpolation parameters, and then interpolate to the desired object using one of the 3D interpolation commands.

The interpolation options are selected using the Interpolation Options dialog accessed through the Interpolation Options command in the Interpolation menu. Once a set of options is selected, those options are used for all subsequent interpolation commands. Interpolation options are saved in the project file.

A 3D grid can be created which will enclose the scatter points by using the Bounding 3D Grid command in the Scatter Points menu. A 2D grid can also be created using the Bounding 2D Grid command in the Scatter Points menu.

Interpolation Methods

The following methods are supported for 3D interpolation in GMS:

  • Inverse Distance Weighted Interpolation – Based on the assumption that the interpolating surface should be influenced most by the nearby points and less by the more distant points.
  • Kriging – Based on the assumption that the parameter being interpolated can be treated as a regionalized variable.

Log interpolation is also supported.

Related Topics