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Okabe Co Ltd kernel density estimation (kde) technique
Kernel Density Estimation (Kde) Technique, supplied by Okabe Co 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/pm39018626-156-6-26
Average 90 stars, based on 1 article reviews
kernel density estimation (kde) technique - by Bioz Stars, 2026-09
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Article Title: Estimating the effectiveness of marked sidewalks: An application of the spatial causality approach.
Article Snippet: Various safety enhancements and policies have been proposed to enhance pedestrian safety and minimize vehicle–pedestrian accidents.. A relatively recent approach involves marked sidewalks delineated by painted pathways, particularly in Asia’s crowded urban centers, offering a cost-effective and space-efficient alternative to traditional paved sidewalks.. While this measure has garnered interest, few studies have rigorously evaluated its effectiveness.

Article Title: Spatiotemporal persistence of bat roadkill hotspots in response to dynamics of habitat suitability and activity patterns.
Article Snippet: The bat roadkill data were examined for the presence of high mortality clusters, i.e. hotspots, using the Kernel density estimation (KDE) (Okabe et al., 2009; Bíl et al., 2013; Favilli et al., 2018).

Article Title: Measuring the spatiotemporal evolution of accident hot spots.
Article Snippet: One reality of transportation systems is that vehicular accidents can happen practically anywhere and at any time.. An increasing body of research suggests though that spatial and/or temporal dependencies (i.e., clusters or hot spots) among accidents likely exist.. Along with understanding where and when such spatiotemporal dependencies may occur, another important facet to consider is the geographic extent or area associated with the hot spots.

Article Title: Weighted network Voronoi Diagrams for local spatial analysis
Article Snippet: Contents lists available at ScienceDirect Computers, Environment and Urban Systems journal homepage: www.elsevier .com/locate /compenvurbsys Weighted network Voronoi Diagrams for local spatial analysis http://dx.doi.org/10.1016/j.compenvurbsys.2015.03.005 0198-9715/ 2015 Elsevier Ltd. All rights reserved.. ⇑ Corresponding author.. E-mail address: xye5@kent.edu (X. Ye).

Article Title: A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020
Article Snippet: Kernel density estimation (KDE) is used to estimate data densities that do not have parametric statistical behaviors, that is, do not follow normal, binomial, or exponential distributions (Okabe, Satoh, & Sugihara, ).



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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: