Time‐lagged inverse‐distance weighting for air temperature analysis in an equatorial urban area (Guayaquil, Ecuador)
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DOI: 10.1002/met.1938
Abstract: It is well known that sudden variations of air temperature have the potential to cause severe impacts on human health. Therefore, it becomes necessary to provide information capable of quantifying the severity of the problem,… read more here.
Keywords: distance weighting; guayaquil; inverse distance; air temperature ... See more keywords
A dynamic inverse distance weighting-based local face descriptor
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DOI: 10.1007/s11042-020-09581-3
Abstract: This paper proposes a novel high-performance dynamic inverse distance weighting based local descriptor (DIDWLD) for facial recognition. Studies proposed thus far have focused on finding local descriptors that can represent the texture of the face… read more here.
Keywords: descriptor; distance; weighting based; dynamic inverse ... See more keywords
Improved inverse distance weighting method application considering spatial autocorrelation in 3D geological modeling
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DOI: 10.1007/s12145-019-00436-6
Abstract: Spatial interpolation is a main research method in 3D geological modeling, which has important impacts on 3D geological structure model accuracy. The inverse distance weighting (IDW) method is one of the most commonly used deterministic… read more here.
Keywords: distance; correlation; inverse distance; distance weighting ... See more keywords
The possibility of preparing soil texture class map by artificial neural networks, inverse distance weighting, and geostatistical methods in Gavoshan dam basin, Kurdistan Province, Iran
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DOI: 10.1007/s12517-020-5134-1
Abstract: Soil texture is one of the most important variables in crop production that can influence agriculture plans. Preparing a map showing the different zones of soil texture classes is very important in agricultural planning. The… read more here.
Keywords: distance weighting; map; inverse distance; soil texture ... See more keywords
Optimizing Inverse Distance Weighting with Particle Swarm Optimization
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DOI: 10.3390/app10062054
Abstract: 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… read more here.
Keywords: swarm optimization; inverse distance; particle swarm; optimization ... See more keywords