Results 31 to 40 of about 86,327 (302)
Rainfall Spatial Interpolation with Graph Neural Networks [PDF]
, 2023 Rainfall spatial interpolation is a crucial task to infer rainfall distribution in space for hydrological studies and natural disaster prevention. However, obtaining accurate interpolation results is a non-trivial task due to the complex and dynamic ...
Li, Jia +3 more
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The theory and practical application of techniques of statistical interpolation are studied in this thesis, and new developments in multivariate spatial interpolation and the design of sampling plans are discussed. Several applications to studies in soil science are presented.Sampling strategies for collecting spatial data (both the number of ...
TianXiang Yue +3 more
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NUST Journal of Engineering Sciences, 2017 Spatial interpolation is commonly used to generate water quality surfaces, but different spatial interpolation methods yield different surfaces from the same data.
Syed Umair Shahid +2 more
doaj +1 more source
A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006 [PDF]
, 2008 We present a European land-only daily high-resolution gridded data set for precipitation and minimum, maximum, and mean surface temperature for the period 1950–2006.
Jones, P. D. +13 more
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Interpolation free subpixel accuracy motion estimation [PDF]
, 2006 Licensed and exploited by ProVision Communications Technologies Ltd. Accurate motion estimation at sub pixel resolution is computationally complex. Method overcomes difficulties of subpixel search in real time implementation of H.264 codec, through ...
Hill, PR +3 more
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FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Spatial interpolation using conservative fuzzy reasoning [PDF]
, 2001 Spatial interpolation is an important feature of a Geographic Information System, which is the procedure used to estimate values at unknown locations within the area covered by existing observations.
Wong, K.W., Wong, P.M., Gedeon, T.
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OPTIMISATION OF KAOLIN DEPOSIT MODELING USING GEOSTATISTICAL METHODS OF SPATIAL INTERPOLATION [PDF]
Sustainable Extraction and Processing of Raw Materials Journal. The paper presents a comprehensive approach to optimising kaolin deposit modelling using geostatistical methods of spatial interpolation. The study focuses on improving the assessment of the spatial distribution of mineral components using the example
Ihor Piskun +2 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Discrete natural neighbour interpolation with uncertainty using cross-validation error-distance fields [PDF]
PeerJ Computer Science, 2020 Interpolation techniques provide a method to convert point data of a geographic phenomenon into a continuous field estimate of that phenomenon, and have become a fundamental geocomputational technique of spatial and geographical analysts.
Thomas R. Etherington
doaj +2 more sources