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Okabe Co Ltd kernel density value
Kernel Density Value, 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/kernel+density+estimation/pm40311366-149-2-21
Average 90 stars, based on 1 article reviews
kernel density value - 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: A spatial autocorrelation analysis of road traffic crash by severity using Moran's I spatial statistics: A comparative study of Addis Ababa and Berlin cities.
Article Snippet: Subsequently, researches were conducted to evaluate the performance of KDE and NetKDE over other hot spot identification methods(Amiri et al., 2021; Bíl et al., 2013; Flahaut et al., 2003b; Okabe et al., 2009; Thakali et al., 2015), and the results revealed that the modified network kernel density estimation (NetKDE) performed better than the rest methods.

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Article Snippet: Comprehending the elements that shape tourist dining satisfaction is pivotal for refining the travel encounter and boosting the prospects of repeat visits.. Whereas previous studies predominantly concentrated on the intrinsic attributes of the cuisine and eateries, alongside the personal factors of the tourists, they overlooked the influence of the restaurant’s external spatial features on the dining experience.. Leveraging social sensing theory and harnessing geotagged Weibo data, our research delves into the dining activity spaces within Suzhou City.

Article Title: Asymmetric midshaft femur remodeling in an adult male with left sided hip joint ankylosis, Metal Period Nagsabaran, Philippines.
Article Snippet: We used Point and Kernel densities to understand high-low spatial organization of canals, and the Average Nearest Neighbour Distance method to estimate linear cortical space (in μm) between canals (Okabe et al., 2009).

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, ).

Article Title: Detecting space–time patterns of disease risk under dynamic background population
Article Snippet: However, as people and goods move along the road network, it is necessary to adapt ST-DB toward network distance, drawing from existing research about kernel density estimation for networks (Okabe et al. ), space–time hotspot detection for street-level incidents (Shiode and Shiode ), and local indicators of network‐constrained clusters (Yamada and Thill ).

Article Title: Examining the role of random parameters and unobserved heterogeneity in the frequency-severity of rural freeway run-off-road and fixed-object crashes: A Bayesian hierarchical-geospatial approach.
Article Snippet: Fixed-object collisions and run-off-road (FOC-ROR) crashes are more severe and frequent in rural freeways compared to other crash types, particularly involving light vehicles.. The relationship between influential factors and crash frequency-severity is complex due to unobserved heterogeneities.. This study developed a comprehensive method integrating spatial autocorrelation cluster analysis and the Bayesian Hierarchical Random Parameter (BHRP) model to quantitatively examine unobserved effects and parameter uncertainties in FOC-ROR, FOC, and ROR crashes separately.

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Article Title: The impact of public eco-concern on urban eco-efficiency: A dual perspective analysis of net effect and configuration.
Article Snippet: Urban sustainable development is an important topic of concern across various sectors of society, and how to enhance urban eco-efficiency (UEE) is a critical question of our time.. As an essential component of the institutional environment, the relationship between public eco-concern (PEC) and UEE requires a more nuanced exploration and validation.. Based on the data collected from 279 Chinese cities from 2011 to 2020, this study employs a combination of spatiotemporal analysis, spatial Durbin model (SDM), and panel qualitative comparative analysis (QCA) to investigate the spatiotemporal distribution patterns of both the variables and their interrelations.



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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: