statistics. We introduce a new method which is based on kernel density estimates. It is a modification of the SEM algorithm … proposed by Gross et al. (2016), which was used for the transformation of totals on rectangular areas to kernel densities … kernel density estimates offers additional useful features to display concentration areas. …

kernel density estimates (KDE) offer advantages over classical choropleth maps. However, kernel density estimation needs … aggregates for kernel density estimation. Their algorithm simulates "exact" geo-coordinates which reflect the information on the … in the vicinity of boundaries. Here we propose a modification of the original algorithm which uses rescaled kernel …

This paper introduces a multivariate kernel based forecasting tool for the prediction of variance-covariance matrices …