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.
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Optimizing Inverse Distance Weighting with Particle Swarm Optimization [PDF]
Applied Sciences, 2020 Spatial analysis of hydrological data often requires the interpolation of a variable from point samples. Commonly used methods for solving this problem include Inverse Distance Weighting (IDW) and Kriging (KG). IDW is easily extensible, has a competitive
Alina Barbulescu +2 more
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Improving SSA Predictions by Inverse Distance Weighting
Revstat Statistical Journal, 2013 This paper proposes a method of utilizing spatial information to improve predictions in one dimensional time series analysis using singular spectrum analysis (SSA).
Richard O. Awichi , Werner G. Müller
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Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit [PDF]
Royal Society Open Science, 2017 This paper focuses on designing and implementing parallel adaptive inverse distance weighting (AIDW) interpolation algorithms by using the graphics processing unit (GPU). The AIDW is an improved version of the standard IDW, which can adaptively determine
Gang Mei, Liangliang Xu, Nengxiong Xu
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A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression [PDF]
Computational Science – ICCS 202020th International Conference, 2020 Inverse 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.
Emmendorfer L, Dimuro G.
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FIDWaC - Fast inverse distance weighting and compressionDatasets
SoftwareXFIDWaC (Fast Inverse Distance Weighting and Compression) is a Python-based toolkit designed for efficient processing and storage of compressed geospatial data.
Andrzej Łysko +5 more
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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
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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
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Geosciences, 2021 The inverse-distance weighting interpolation is widely used in 3D geological modeling and directly affects the accuracy of models. With the development of “smart” or “intelligent” geology, classical inverse-distance weighting interpolation cannot meet ...
Zhen Liu +4 more
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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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