Integrating data-to-data correlation into inverse distance weighting
Computational Geosciences, 2020 As a typical spatial interpolation method with high efficiency and simplicity, inverse distance weighting (IDW) is almost a standard estimator in numerous fields such as geosciences and environmental science.
Zhang, Xialin +4 more
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Inverse distance weighting to rapidly generate large simulation datasets. [PDF]
J Biomech, 2023 Obtaining large biomechanical datasets for machine learning is an ongoing challenge. Physics-based simulations offer one approach for generating large datasets, but many simulation methods, such as computed muscle control (CMC), are computationally costly. In contrast, interpolation methods, such as inverse distance weighting (IDW), are computationally
Kearney KM, Harley JB, Nichols JA.
europepmc +3 more sources
The influence of distance weight on the inverse distance weighted method for ore-grade estimation [PDF]
Scientific Reports, 2021 AbstractIn order to study the influence of distance weight on ore-grade estimation, the inverse distance weighted (IDW) is used to estimate the Ni grade and MgO grade of serpentinite ore based on a three-dimensional ore body model and related block models.
Zhan-Ning Liu +5 more
openaire +3 more sources
Evaluation of Suitability Groundwater Quality for Agricultural, Drinking and Industrial Purposes (Case Study: South of Chaharmahal and Bakhtiari Province) [PDF]
محیط زیست و مهندسی آب, 2023 The significant reduction of surface water resources and recent recurrent droughts have increased the reliance on groundwater sources, leading to a decline in their quality.
Seyed Mohammadreza Hosseini Vardanjani +3 more
doaj +1 more source
The most similar predictor – on selecting measurement locations for wind resource assessment [PDF]
Wind Energy Science, 2020 We present the “most similar” method for selecting optimal measurement positions for wind resource assessment. Wind resource assessment is generally done by extrapolating a measured and long-term corrected wind climate at one location to a prediction
A. Bechmann +3 more
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TOPOLOGICAL 3D ELEVATION DATA INTERPOLATION OF ASTER GDEM BASED ON CONTINUOUS DEFORMATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In Geographic Information Science, polynomial methods such as linear estimation and non-polynomial methods including Inverse Distance Weighting and Kriging have been used for elevation data interpolation. In this paper, 3D data interpolation using linear
A. Jamali, F. A. Castro
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Modified Inverse Distance Weighting Interpolation for Particulate Matter Estimation and Mapping
Atmosphere, 2022 Various studies are currently underway on PM (Particulate Matter) monitoring in view of the importance of air quality in public health management.
Kanghyeok Choi, Kyusoo Chong
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Distances in Weighted Trees and Group Inverse of Laplacian Matrices [PDF]
SIAM Journal on Matrix Analysis and Applications, 1997 Formulas are given for group inverses of Laplacians of weighted trees. A relationship between entries of the group inverse and various distance functions on trees is highlighted. In particular, it is shown that the maximal and minimal entries on the diagonal of the group inverse correspond to certain pendant vertices of the tree and to a centroid of ...
Stephen J. Kirkland +2 more
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Scale-Invariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences [PDF]
, 2020 Once we measure the values of a physical quantity at certain spatial locations, we need to interpolate these values to estimate the value of this quantity at other locations x.
Velasco, Aaron A. +2 more
core +1 more source
, 2021 Once we measure the values of a physical quantity at certain spatial locations, we need to interpolate these values to estimate the value of this quantity at other locations x. In geosciences, one of the most widely used interpolation techniques is inverse distance weighting, when we combine the available measurement results with the weights inverse ...
Laxman Bokati +2 more
openaire +3 more sources