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Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit [PDF]

open access: yesRoyal 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
doaj   +2 more sources

Evaluation of Suitability Groundwater Quality for Agricultural, Drinking and Industrial Purposes (Case Study: South of Chaharmahal and Bakhtiari Province) [PDF]

open access: yesمحیط 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

An Adaptive Inverse-Distance Weighting Interpolation Method Considering Spatial Differentiation in 3D Geological Modeling

open access: yesGeosciences, 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
doaj   +1 more source

The most similar predictor – on selecting measurement locations for wind resource assessment [PDF]

open access: yesWind 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
doaj   +1 more source

TOPOLOGICAL 3D ELEVATION DATA INTERPOLATION OF ASTER GDEM BASED ON CONTINUOUS DEFORMATION [PDF]

open access: yesThe 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
doaj   +1 more source

Optimizing Inverse Distance Weighting with Particle Swarm Optimization

open access: yesApplied 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
doaj   +1 more source

Enhancement of inverse-distance-weighting 2D interpolation using accelerated decline

open access: yesReports 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
doaj   +1 more source

Modified Inverse Distance Weighting Interpolation for Particulate Matter Estimation and Mapping

open access: yesAtmosphere, 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
doaj   +1 more source

Improving SSA Predictions by Inverse Distance Weighting

open access: yesRevstat 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
doaj   +1 more source

A GIS-Based Study of Air and Water Quality Trends in Madurai City, India [PDF]

open access: yesNature Environment and Pollution Technology, 2022
The objective of this study is to assess the air quality and water quality at Madurai city using the spatial interpolation technique of the Geographic Information System (GIS).
L. Balaji, M. Muthukannan and R. Kanniga Devi
doaj   +1 more source

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