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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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 +4 more sources
Active learning for regression by inverse distance weighting [PDF]
Information Sciences, 2023 This paper proposes an active learning (AL) algorithm to solve regression problems based on inverse-distance weighting functions for selecting the feature vectors to query. The algorithm has the following features: (i) supports both pool-based and population-based sampling; (ii) is not tailored to a particular class of predictors; (iii) can handle ...
A. Bemporad
semanticscholar +6 more sources
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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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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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.
europepmc +4 more sources
Accuracy assessment of inverse distance weighting interpolation of groundwater nitrate concentrations in Bavaria (Germany). [PDF]
Environ Sci Pollut Res Int, 2023 For the designation of nitrate vulnerable zones under the EU Nitrate Directive, some German federal states use inverse distance weighting (IDW) as interpolation method.
Ohlert PL, Bach M, Breuer L.
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Droplet Deposition Distribution Prediction Method for a Six-Rotor Plant Protection UAV Based on Inverse Distance Weighting. [PDF]
Sensors (Basel), 2022 The aim of this work is to establish a method for real-time calculating droplet deposition distribution of a six-rotor plant protection unmanned aerial vehicle (UAV). The numerical simulation of the airflow field was carried out using computational fluid
Wang B, Zhang Y, Wang C, Teng G.
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Enhancement of inverse-distance-weighting 2D interpolation using accelerated decline
Reports on Geodesy and Geoinformatics, 2023 Two-dimensional interpolation – or surface fitting – is an approximation tool with applications in geodetic datum transformations, terrain modelling and geoid determination.
Ruffhead Andrew Carey
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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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