Cargando…
An enhanced dual IDW method for high-quality geospatial interpolation
Many geoscience problems involve predicting attributes of interest at un-sampled locations. Inverse distance weighting (IDW) is a standard solution to such problems. However, IDW is generally not able to produce favorable results in the presence of clustered data, which is commonly used in the geosp...
Autor principal: | Li, Zhanglin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110750/ https://www.ncbi.nlm.nih.gov/pubmed/33972610 http://dx.doi.org/10.1038/s41598-021-89172-w |
Ejemplares similares
-
Evaluating the Power of GPU Acceleration for IDW Interpolation Algorithm
por: Mei, Gang
Publicado: (2014) -
Impact of data layouts on the efficiency of GPU-accelerated IDW interpolation
por: Mei, Gang, et al.
Publicado: (2016) -
Improving GPU-accelerated adaptive IDW interpolation algorithm using fast kNN search
por: Mei, Gang, et al.
Publicado: (2016) -
Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin’anjiang River in Huangshan, China
por: Yang, Wenjie, et al.
Publicado: (2020) -
Alpha-1 Antitrypsin Deficiency PI*Z and PI*S Gene Frequency Distribution Using on Maps of the World by an Inverse Distance Weighting (IDW) Multivariate Interpolation Method
por: Blanco, Ignacio, et al.
Publicado: (2012)