A kernel density estimation method for networks, its computational method and a GIS‐based tool

By Atsuyuki Okabe, Toshiaki Satoh, Kokichi Sugihara. International Journal of Geographical Information Science, 2009

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Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China (2020, methodology): “Kernel density estimation is generally used to detect the intensity of events by generating a smooth surface using a quadratic kernel function [26].”
Comparing sample bias correction methods for species distribution modeling using virtual species (2021, methodology): “For each level of intensity, we created a Gaussian density kernel raster using the equal split method of Okabe et al. (2009) with a bandwidth of 500, 250, or 100 km for the 5, 8, or v www.esajournals.org 6 March 2021 v Volume 12(3) v Article e03422 10 cluster centers, respectively, in GRASS GIS…”
Kernel Density Estimation on a Linear Network (2017, methodology): “Several modifications of the naive estimator have been proposed in order to reduce its severe bias (Borruso, 2005, 2008; Okabe et al., 2009, sec.”