INTEGRATED DEPTH FOR TRAJECTORIES OF AIRBORNE MICROORGANISMS TO ANTARCTICA

• 成果类型: Article
• 署名作者: Fernandez-Piana, Lucas; Justel, Ana; Svarc, Marcela
• 署名单位: Universidad de San Andres Argentina; Autonomous University of Madrid; Universidad de San Andres Argentina; Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET)
• 刊物名称: ANNALS OF APPLIED STATISTICS
• ISSN/ISSBN: 1932-6157; 1941-7330
• DOI: 10.1214/25-AOAS2041
• 发表日期: 2025-09
• 页码: 1988-2004
• 关键词: Circular data; Nonparametric Statistics; particle dispersion; complex data; DIRECTIONAL-DATA; functional data; RIEMANNIAN-MANIFOLDS; CLASSIFICATION

摘要

Sets of trajectories that begin or end at the same point, in the form of a bouquet, appear in several real-world problems, such as the dispersion of volcanic ash or forecasts of hurricane paths, among others. Our interest in this type of trajectory focuses on studying the biogeography of airborne microorganisms and their ability to colonise soils recently exposed due to climate change. For these functional data, we introduce a new integrated depth measure (D) that allows finding central and outlier curves in a dataset. First, circular local depths (LD) are calculated in concentric circles around the common point, and in a second step, these values are integrated along the curves, yielding the trajectory depth. Under mild conditions both LD and D have good properties and are strongly consistent. In addition, we propose an efficient algorithm for working with large datasets. Finally, we apply this new technique to find the main routes followed by air masses carrying microorganisms to Byers Peninsula (Livingston Island, Antarctica).