The method parameter determines the interpolation method used to create the temporary tins in rubbersheeting.
Rubber sheeting arcgis 10 1.
The z value is the amount of change between the from end and to end of a link.
Natural neighbor and linear.
Types of geometric transformations include rubber sheeting usually used for georeferencing projection using the projection information to transform the data from one projection to another translation shifting all the coordinates equally rotation rotating all the coordinates by some angle and changing the cell size of the dataset.
The values entered must be equal to or greater than zero.
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Rubbersheeting is typically used to align two or more layers.
Before performing spatial adjustment rubbersheeting you need to choose an adjustment method.
For the tension spline method the weight parameter defines the weight of tension.
Arcgis arctutor editing spatialadjustment about rubbersheeting.
See about spatial adjustment rubbersheeting for more details.
For example if the change in x for a link is 10 map units the z value of the tin node at the from end of that link will be 10.
Two rubbersheeting options are supported.
Linear this method creates a quick tin surface but does not really take into account the neighborhood.
The typical values that may be used are 0 0 001 0 01 0 1 and 0 5.
Rubber sheeting spatial adjustment of a feature class in arcgis.
Spatial adjustment rubbersheeting makes small geometric adjustments in your data usually to align features with more accurate information.
This process moves the features of a layer using a piecewise transformation that preserves straight lines.
Arcgis help 10 1 about spatial adjustment rubbersheeting about spatial adjustment rubbersheeting geometric distortions commonly occur in source maps.
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The typical values are 0 1 5 and 10.
The z value of each node is used to interpolate the amount of x y adjustment applied to each feature coordinate.
It is slightly faster and produces good results when you have many rubbersheet links spread uniformly over the data.