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software's griddata spatial interpolation function  (MathWorks Inc)


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    MathWorks Inc software's griddata spatial interpolation function
    Software's Griddata Spatial Interpolation Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/interpolation+function+griddata/pm39700705-52-5-3
    Average 90 stars, based on 1 article reviews
    software's griddata spatial interpolation function - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Experimental Evaluation of an Array Transducer for Ultrasound Thermal Strain Imaging: Phantom and In Vivo Studies.
    Article Snippet: To depict a smooth spatial 2-D temperature increase pattern using these measurements from sparse locations, we applied a biharmonic spline interpolation by using the MATLAB (MathWorks Inc., Natick, MA, USA) function “griddata” with the “v4” method option.

    Article Title: Seasonal Variability of Hydrological Parameters and Estimation of Circulation Patterns: Application to a Mediterranean Coastal Lagoon
    Article Snippet: This was achieved using Matlab’s “griddata” function, and by performing a triangulation-based natural neighbor interpolation.

    Article Title: Acetylcholine Modulates the Precision of Prediction Error in the Auditory Cortex
    Article Snippet: Once the coordinates of each of the recorded units of all the animals were obtained, we used the functions ‘griddata’ and ‘contourf’ of MATLAB to generate topographic maps (through a graduation of colors) of the characteristic frequency (CF), CSI levels, and deviant and standard tone responses in all auditory cortical fields.

    Article Title: Depth-resolved characterization of centrifugal disk finishing of additively manufactured Inconel 718
    Article Snippet: Scattered missing pixels in the profilometry measurementswere filled by averaging the neighboring points using the ‘griddata’ function in Matlab.

    Article Title: High-order Lagrangian algorithms for Liouville models of particle-laden flows
    Article Snippet: Journal of Computational Physics 515 (2024) 113281 Contents lists available at ScienceDirect Journal of Computational Physics journal homepage: www.elsevier.com/locate/jcp High-order Lagrangian algorithms for Liouville models of particle-laden flows Daniel Domínguez-Vázquez a, Sergio A. Castiblanco-Ballesteros a, Gustaaf B. Jacobs a,∗, Daniel M. Tartakovsky b a Department of Aerospace Engineering, San Diego State University, San Diego, CA 92182, USA b Department of Energy Science and Engineering, Stanford University, Stanford, CA 94305, USA A R T I C L E I N F O A B S T R A C T Keywords: Multiphase flow Particle-laden flow Eulerian–Lagrangian Method of distributions Random forcing Flow map Eulerian-Lagrangian models describe fluid flow and particle dynamics in the Eulerian and Lagrangian frameworks, respectively.. In chaotic systems the particle dynamics are stochastic because the suspended particles are subjected to random forces.. We use a polynomial chaos expansion (PCE), rather than a postulated constitutive law, to capture structural and parametric uncertainties in the particles’ forcing.

    Derivative Assay:

    Article Title: Atom-by-atom imaging of moiré transformations in 2D transition metal dichalcogenides
    Article Snippet: .. We first calculated the displacement field u derived from the displacement vectors and produced the displacement gradient field by obtaining its spatial derivative: ∇uu = ⎣ ⎢ ⎢ ⎢ ⎡ ∂∂ppxx ∂∂∂∂ ∂∂ppxx ∂∂∂∂ ∂∂ppyy ∂∂∂∂ ∂∂ppyy ∂∂∂∂ ⎦ ⎥ ⎥ ⎥ ⎤ Next, we interpolated it onto a grid using griddata, a triangulation-based cubic interpolation method implemented in MATLAB. ..

    Produced:

    Article Title: Atom-by-atom imaging of moiré transformations in 2D transition metal dichalcogenides
    Article Snippet: .. We first calculated the displacement field u derived from the displacement vectors and produced the displacement gradient field by obtaining its spatial derivative: ∇uu = ⎣ ⎢ ⎢ ⎢ ⎡ ∂∂ppxx ∂∂∂∂ ∂∂ppxx ∂∂∂∂ ∂∂ppyy ∂∂∂∂ ∂∂ppyy ∂∂∂∂ ⎦ ⎥ ⎥ ⎥ ⎤ Next, we interpolated it onto a grid using griddata, a triangulation-based cubic interpolation method implemented in MATLAB. ..

    Software:

    Article Title: Long-term trends in summer hypoxia and associated driving factors in the Pearl River Estuary, China.
    Article Snippet: In this study, we collected in situ water quality data during the summer months from 1985 to 2021 and surface sediment organic carbon and stable carbon isotope (δ13C) data from 2002 and 2020 in the Pearl River Estuary (PRE), to analyze long-term trends in hypoxia and explore changes in deoxygenation processes and their potential drivers.. Our results showed that hypoxic events in the PRE transitioned from episodic in Lingdingyang Bay in the 2000s to periodic in the lower estuary by the late 2010s.. During this transition, the dominant deoxygenation processes shifted from being caused by terrestrial and wastewater emissions to eutrophication.



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    Table 1

    Journal: Biomedical Optics Express

    Article Title: Real-time optical properties and oxygenation imaging using custom parallel processing in the spatial frequency domain

    doi: 10.1364/BOE.10.003916

    Figure Lengend Snippet: Table 1

    Article Snippet: The optical properties µ a and µ s ’ estimation for the MATLAB CPU reference implementation is performed with either griddata triangulation-based 2D interpolation MATLAB function or bilinear interpolation MATLAB function interp2 on the LUT.

    Techniques: