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Poisson Voronoi tessellations have been used in modeling many types of systems across different sciences, from geography and astronomy to telecommunications. The existing literature on the statistical properties of Poisson Voronoi cells is…

网络与互联网体系结构 · 计算机科学 2020-09-09 Konstantinos Koufos , Carl P. Dettmann

The regeneration of forest resources is one of the main objectives of modern forest management. The present book is based on my personal PhD thesis and aims to identify detailed features of the regeneration process and the characteristics…

种群与进化 · 定量生物学 2016-01-26 Ciprian Palaghianu

Many methods for modelling spatial processes assume global smoothness properties; such assumptions are often violated in practice. We introduce a method for modelling spatial processes that display heterogeneity or contain discontinuities.…

Voronoi Tessellations form an attractive and versatile geometrical asymptotic model for the foamlike cosmic distribution of matter and galaxies. In the Voronoi model the vertices are identified with clusters of galaxies. For a substantial…

天体物理学 · 物理学 2007-05-23 Rien van de Weygaert

Voronoi tessellation, also known as Voronoi diagram, is an important computational geometry technique that has applications in various scientific disciplines. It involves dividing a given space into regions based on the proximity to a set…

计算几何 · 计算机科学 2024-12-17 Sergei Shumilin , Alexander Ryabov , Serguei Barannikov , Evgeny Burnaev , Vladimir Vanovskii

The large-scale matter distribution represents a complex network of structure elements such as voids, clusters, filaments, and sheets. This network is spanned by a point distribution. The global properties of the point process can be…

天体物理学 · 物理学 2009-10-28 Andrei G. Doroshkevich , Stefan Gottloeber , Soeren Madsen

Voronoi tessellations have been used to model the geometric arrangement of cells in morphogenetic or cancerous tissues, however so far only with flat hypersurfaces as cell-cell contact borders. In order to reproduce the experimentally…

生物物理 · 物理学 2009-12-02 Martin Bock , Amit Kumar Tyagi , Jan-Ulrich Kreft , Wolfgang Alt

Voronoi treemaps are used to depict nodes and their hierarchical relationships simultaneously. However, in addition to the hierarchical structure, data attributes, such as co-occurring features or similarities, frequently exist. Examples…

图形学 · 计算机科学 2025-08-07 Patrick Paetzold , Rebecca Kehlbeck , Yumeng Xue , Bin Chen , Yunhai Wang , Oliver Deussen

Voronoi tessellations of scale-invariant fractal sets are characterized by topological and metrical properties that are significantly different from those of natural cellular structures. As an example we analyze Voronoi diagrams of…

统计力学 · 物理学 2009-10-31 Haye Hinrichsen , Gudrun Schliecker

Poisson point processes provide a versatile framework for modeling the distributions of random points in space. When the space is partitioned into cells, each associated with a single generating point from the Poisson process, there appears…

数值分析 · 数学 2024-05-14 Jaume Anguera Peris , Joakim Jaldén

Representing a scanned map of the real environment as a topological structure is an important research topic in robotics. Since topological representations of maps save a huge amount of map storage space and online computing time, they are…

机器人学 · 计算机科学 2019-10-03 Jiawei Hou , Yijun Yuan , Sören Schwertfeger

Poisson Voronoi diagrams are useful for modeling and describing various natural patterns and for generating random lattices. Although this particular space tessellation is intensively studied by mathematicians, in two- and three dimensional…

软凝聚态物质 · 物理学 2008-02-20 F. Jarai-Szabo , Z. Neda

Given a countable set of points in a continuous space, Voronoi tessellation is an intuitive way of partitioning the space according to the distance to the individual points. As a powerful approach to obtain structural information, it has a…

软凝聚态物质 · 物理学 2020-02-17 Simeon Völkel , Kai Huang

Space partitioning methods such as random forests and the Mondrian process are powerful machine learning methods for multi-dimensional and relational data, and are based on recursively cutting a domain. The flexibility of these methods is…

机器学习 · 统计学 2019-12-03 Shufei Ge , Shijia Wang , Yee Whye Teh , Liangliang Wang , Lloyd T. Elliott

Voronoi tessellations of Poisson point processes are widely used for modeling many types of physical and biological systems. In this paper, we analyze simulated Poisson-Voronoi structures containing a total of 250,000,000 cells to provide…

计算物理 · 物理学 2014-01-09 Emanuel A. Lazar , Jeremy K. Mason , Robert D. MacPherson , David J. Srolovitz

Given two sets of training samples, general method is to estimate the density function and classify the test sample according to higher values of estimated densities. Natural way to estimate the density should be histogram tending to…

统计方法学 · 统计学 2017-06-30 Anupam Kundu , Subir Kumar Bhandari

The spatial preferential attachment (SPA) is a model for complex networks. In the SPA model, nodes are embedded in a metric space, and each node has a sphere of influence whose size increases if the node gains an in-link, and otherwise…

社会与信息网络 · 计算机科学 2015-06-22 Jeannette Janssen , Pawel Pralat , Rory Wilson

The Voronoi tessellation is a natural way of space segmentation, which has many applications in various fields of science and technology, as well as in social sciences and visual art. The varieties of the Voronoi tessellation methods are…

星系天体物理 · 物理学 2022-08-04 Irina Vavilova , Andrii Elyiv , Daria Dobrycheva , Olga Melnyk

The area query, to find all elements contained in a specified area from a certain set of spatial objects, is a very important spatial query widely required in various fields. A number of approaches have been proposed to implement this…

数据库 · 计算机科学 2020-03-31 Yang Li

With recent developments in remote sensing technologies, plot-level forest resources can be predicted utilizing airborne laser scanning (ALS). The prediction is often assisted by mostly vertical summaries of the ALS point clouds. We present…

应用统计 · 统计学 2021-05-03 Henrike Häbel , András Balázs , Mari Myllymäki
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