Produção Nacional
Revisado por pares
A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression
2020; Springer Science+Business Media; Linguagem: Inglês
10.1007/978-3-030-50417-5_43
ISSN1611-3349
AutoresLeonardo Ramos Emmendörfer, Graçaliz Pereira Dimuro,
Tópico(s)Precipitation Measurement and Analysis
ResumoInverse Distance Weighting (IDW) is a widely adopted interpolation algorithm. This work presents a novel formulation for IDW which is derived from a weighted linear regression. The novel method is evaluated over study cases related to elevation data, climate and also on synthetic data. Relevant aspects of IDW are preserved while the novel algorithm achieves better results with statistical significance. Artifacts are alleviated in interpolated surfaces generated by the novel approach when compared to the respective surfaces from IDW.
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