1998
DOI: 10.1080/00050326.1998.10441838
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Distortion modelling and the transition to GDA94

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Cited by 6 publications
(7 citation statements)
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“…In [5] several distortion models are compared: (R) Regression, (LSC) Least Squares Collocation and (MCS) Minimum Curvature Surfaces. The results for the Australian network [4] shown that MCS has better performance than the others. For the distortion modelling for Spain we are going to study R, LSC, MCS plus a new one RS (Rubber Sheeting).…”
Section: Polynomial Modelsmentioning
confidence: 87%
“…In [5] several distortion models are compared: (R) Regression, (LSC) Least Squares Collocation and (MCS) Minimum Curvature Surfaces. The results for the Australian network [4] shown that MCS has better performance than the others. For the distortion modelling for Spain we are going to study R, LSC, MCS plus a new one RS (Rubber Sheeting).…”
Section: Polynomial Modelsmentioning
confidence: 87%
“…• In the case of coordinate transformations by LSC, the residual is regarded as a distortion that remains after the application of a conformal datum transformation (e.g., Ruffhead, 1987;Collier et al, 1997Collier et al, , 1998You and Hwang, 2006).…”
Section: Trend Removalmentioning
confidence: 99%
“…As with the MREs, the so-called grid transformation technique is able to model the change of datum as well as the distortion between the geodetic networks (cf. Collier et al, 1997). This is done by first creating a regularly spaced grid of unique, predetermined transformation shift values and mapping them to each grid node, from which they can be used as required to produce interpolated values for any given point.…”
Section: The Grid Transformation (Projective) -New Icsm Approach and mentioning
confidence: 99%