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Titlebook: Case Studies in Spatial Point Process Modeling; Adrian Baddeley,Pablo Gregori,Dietrich Stoyan Book 2006 Springer-Verlag New York 2006 Bran

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31#
發(fā)表于 2025-3-27 00:11:58 | 只看該作者
Nonparametric Testing of Distribution Functions in Germ-grain Modelsgrains) shifted by the atoms (called germs) of a point process. In this note we consider the distribution function . of an .-dimensional random vector describing shape and size parameters of the typical grain of a stationary germ-grain model. We suggest a ratio-unbiased weighted (Horvitz-Thompson ty
32#
發(fā)表于 2025-3-27 03:11:00 | 只看該作者
Principal Component Analysis for Spatial Point Processes — Assessing the Appropriateness of the Appr plant species. We further investigate principal component analysis for spatial point patterns using functional data analysis tools on second-order summary statistics as introduced in [10, 11]. The approach is used to detect different types of point patterns in a multi-type pattern to classify the s
33#
發(fā)表于 2025-3-27 08:54:39 | 只看該作者
34#
發(fā)表于 2025-3-27 11:58:55 | 只看該作者
35#
發(fā)表于 2025-3-27 16:39:05 | 只看該作者
36#
發(fā)表于 2025-3-27 19:39:00 | 只看該作者
37#
發(fā)表于 2025-3-27 23:24:45 | 只看該作者
Modelling the Bivariate Spatial Distribution of Amacrine Cellssomething about how the two cell types emerge during development..Our goal in is to demonstrate how recently developed Monte Carlo methods for conducting likelihood-based analysis of realistic point process models can lead to sharper inferences about the bivariate structure of the data. In particula
38#
發(fā)表于 2025-3-28 04:59:23 | 只看該作者
Analysis of Spatial Point Patterns in Microscopic and Macroscopic Biological Image Datath significant differences with respect to intensities. We will discuss two examples in the fields of cell biology and ecology were these methods can be applied. They have been chosen, because they demonstrate the wide range of applications for the described techniques and because both examples have
39#
發(fā)表于 2025-3-28 06:37:01 | 只看該作者
Spatial Marked Point Patterns for Herd Dispersion in a Savanna Wildlife Herbivore Community in Kenyas to characterize herd spatial distributions of several species comprising a savanna large herbivore community in Laikipia, central Kenya. Points are the herd centres, marks are the herd sizes. Previous research [15] identified possible discrepancies between prey and non-prey species on the basis of
40#
發(fā)表于 2025-3-28 11:44:04 | 只看該作者
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