Soap film smoothing

By Simon N. Wood, M. Bravington, S. Hedley. 2008

212 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geophysics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/1dba6d265649b99945d5686ca3e068a6b82e6a50

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Ting-Li Su
2. Raquel Menezes
3. Li Wang
4. Guannan Wang
5. Jingru Mu
6. David L. Miller
7. Peter J. Diggle
8. M. L. Burt

In Geophysics

1. Li Wang
2. Guannan Wang
3. Jingru Mu

In Mechanical Engineering

1. Li Wang
2. Guannan Wang
3. Jingru Mu
4. Peter J. Diggle

Citations in the corpus

• A penalized regression model for spatial functional data with application to the analysis of the production of waste in Venice province (2016, unknown): “The other model uses the soap film smoothing described in Wood et al (2008) in space and a cubic spline basis in time, and minimize the same functional in (19).”
• Distance software: design and analysis of distance sampling surveys for estimating population size (2009, background): “Subsequent versions of Distance may incorporate the refinements developed by Wood, Bravington & Hedley (2008) , which makes substantial progress in tackling the latter two issues.”
• Estimation and inference in spatially varying coefficient models (2018, methodology): “…suffer from the problem of “leakage” across the complex domains, which refers to the poor estimation over difficult regions by smoothing inappropriately across boundary features; see the discussions by Ramsay (2002); Sangalli, Ramsay, and Ramsay (2013); and Wood, Bravington, and Hedley (2008).”
• Spatial spline regression models (2013, unknown): “…here compare the performances of filtered kriging (KRIG), thin-plate splines (TPS), soap-film smoothing (SOAP) and SSR models, in a simulation study on a C-shaped domain with the surface test function used by Wood et al. (2008), which is in turn a modification of the one presented by Ramsay (2002).”
• Complex Region Spatial Smoother (CReSS) (2014, methodology): “For a more detailed description of the SOAP method, see Wood, Bravington, and Hedley (2008).”
• Estimation and Inference for Generalized Geoadditive Models (2020, methodology): “Figure 5(a) shows the contour map of the true bivariate function α(·), which is modified based on a similar function given in Wood, Bravington, and Hedley (2008) and Sangalli, Ramsay, and Ramsay (2013).”
• Spatial models for distance sampling data: recent developments and future directions (2013, background): “The soap film smoother of Wood et al. (2008) is an appealing solution: a bivariate © 2013 The Authors.”
• Geostatistical inference under preferential sampling (2010, background): “We indicate some remarks about adjusting spatial models that respect the boundary between sea and land which can be somewhat problematic for the exponential covariance model that is used by the authors; see Wood et al. (2008) who discuss soap film smoothing.”