Spatial Interpolation
By H. Mitásová. ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2008
353 citations recorded by the source corpus.
Subfields: Computer Graphics and Computer-Aided Design, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/0c49c77c6022a05cfa9fee3d98aac44810f5b1d7
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In Computer Graphics and Computer-Aided Design
In Mechanical Engineering
Citations in the corpus
- COMPARISONS BETWEEN DIFFERENT INTERPOLATION TECHNIQUES (2014, methodology): “…of an attribute at an unsampled location is a weighted average of known data points within a local neighbourhood surrounding the unsampled one (Mitas and Mitasova, 1999), as the following formula: (1) Where Z j is the value at an unsampled location, Z i are the known values, is the weight…”
- A Practical Guide to Geostatistical Mapping (2009, methodology): “For exam36 ple, ordinary kriging is used to generate DEMs 37 (Mitas and Mitasova, 1999; Lloyd and Atkin38 son, 2002); conditional geostatistical simula39 tions are used to generate equiprobable realiza40 tions of DEMs (Fisher, 1998; Kyriakidis et al.”
- Accuracy Assessment and Comparative Analysis of IDW, Spline and Kriging in Spatial Interpolation of Landform (Topography): An Experimental Study (2017, neutral): “where 0 π π i are positive weighting factors for a smoothing parameter at each location [7].”