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kernel density estimation (kde)  (Unwin Ltd)

 
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    Unwin Ltd kernel density estimation (kde)
    Kernel Density Estimation (Kde), supplied by Unwin Ltd, 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/kernel+density+estimation+(kde)/kernel+density+estimation/pm38089789-108-0-33
    Average 90 stars, based on 1 article reviews
    kernel density estimation (kde) - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Remedying Food Policy Invisibility with Spatial Intersectionality: A Case Study in the Detroit Metropolitan Area
    Article Snippet: For this analysis, we employed kernel density estimation (KDE) to calculate the degree of food store access for each CT. As a nonparametric density estimation, KDE can calculate the density of features in a neighborhood based on the concept of spatial dependence (O’Sullivan and Unwin 2010).

    Article Title: Spatial and temporal regeneration patterns within gaps in the primary forests vs. secondary forests of Northeast China.
    Article Snippet: Kernel density estimation (KDE) was used to analyze the density distribution of light-demanding, intermediate, and shadetolerant trees in lower, medium, and upper layers of PYG, POG, PCK, SYG, SOG, and SCK (Langford and Unwin, 1994).

    Article Title: Modelling vague places with knowledge from the Web
    Article Snippet: Kernel density estimation (KDE) methods add a weight to the values at points pi according to their distance from q which smooths the influence of points with distance so that points nearer to q have a greater influence on the density value (O’Sullivan and Unwin 2003).



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    3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Journal: Frontiers in Health Services

    Article Title: Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023)

    doi: 10.3389/frhs.2025.1621018

    Figure Lengend Snippet: 3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Article Snippet: To analyze the dynamic evolution of service capacity across institutions, a 3D Kernel Density Estimation (KDE) was constructed using MATLAB, based on composite TOPSIS scores from 2019 to 2023.

    Techniques: