Abstract
Conventional smoothing over complicated coastal and island regions may result in errors across boundaries, due to the use of Euclidean distances to measure interpoint similarity. The new Complex Region Spatial Smoother (CReSS) method presented here uses estimated geodesic distances, model averaging, and a local radial basis function to provide improved smoothing over complex domains. CReSS is compared, via simulation, with recent related smoothing techniques, Thin Plate Splines (TPS), geodesic low rank TPS (GLTPS), and the Soap film smoother (SOAP). The GLTPS method cannot be used in areas with islands and SOAP can be hard to parameterize. CReSS is comparable with, if not better than, all considered methods on a range of simulations. Supplementary materials for this article are available online.
Original language | English |
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Pages (from-to) | 340-360 |
Journal | Journal of Computational and Graphical Statistics |
Volume | 23 |
Issue number | 2 |
DOIs | |
Publication status | Published - 28 Apr 2014 |
Keywords
- Geodesic distance
- Local radial Basis
- Thin Plate Splines
- Model averaging
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Dive into the research topics of 'Complex Region Spatial Smoother (CReSS)'. Together they form a unique fingerprint.Profiles
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Carl Robert Donovan
- School of Mathematics and Statistics - Honorary Lecturer in Statistics
Person: Honorary
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Lindesay Alexandra Sarah Scott-Hayward
- School of Mathematics and Statistics - Head of CREEM CRU
- Statistics - Senior Research Fellow
- Centre for Research into Ecological & Environmental Modelling
Person: Academic - Research