Rubber sheeting is a technique for edge matching and is another name for warping.
Gis rubber sheeting.
Rubber sheeting a procedure for adjusting the coordinates of all the data points in a dataset to allow a more accurate match between.
This exercise will show you how to rubber sheet data by using displacement links multiple displacement links and identity links.
You will rubber sheet a newly imported set of street features to match an existing feature class of street features.
Rubber sheeting a procedure to adjust the features of a coverage in a nonuniform manner.
For steps to transform features using affine or similarity transformation methods see transform features.
Before aerial photography arrived most maps were highly inaccurate by modern standards.
Linear this method creates a quick tin surface but does not really take into account the neighborhood.
Setting up the data and rubbersheeting options prerequisite.
Epdm sheet rubber is a versatile blended sheet epdm sheet rubber is a versatile blended sheet composed of ethylene propylene diene monomer and styrene butadiene rubber.
Spatial adjustment rubbersheeting makes small geometric adjustments in your data usually to align features with more accurate information.
For this reason epdm material is an excellent medium for outdoor uses.
See about spatial adjustment rubbersheeting for more details.
On the edit tab in the snapping group.
Links representing from and to locations are used to define the adjustment see also link.
The method parameter determines the interpolation method used to create the temporary tins in rubbersheeting.
Spatial adjustment rubbersheeting makes small geometric adjustments in your data usually to align features with more accurate information.
Rubber sheeting may improve the value of such sources and make them easier to compare to modern maps.
It is slightly faster and produces good results when you have many rubbersheet links spread uniformly over the data.
Rubber sheeting is necessary because the imagery and the vector data will rarely match up correctly due to various reasons such as the angle at which the image was taken the curvature of the surface of the earth minor movements in the imaging platform such as a satellite or aircraft and other errors in the imagery.
