TY - CONF

T1 - Statistical Analysis of the Vector Polygon Data as a New Tool to Study Geophysical Fields

AU - May, R.

AU - Rubchenia, A.

N1 - Export Date: 19 February 2026; Cited By: 0; Correspondence Address: A. Rubchenia; N.N. Zubov’s State Oceanographic Institute, Roshydromet, Moscow, Russian Federation; email: pp6077@gmail.com

PY - 2025

Y1 - 2025

N2 - An efficient algorithm of recursive calculation of the probability of intersection of an unlimited number of vector polygons is created. The developed algorithm can be used for statistical analysis of any data presented as polygonal objects. Such objects are used in many Earth sciences, including geology, hydrometeorology, and glaciology, for example, to describe the edges of ice, the boundary of glaciers, permafrost, snow cover, and the position of certain isolines (isotherms, isobars, etc.). In addition to the algorithm for calculating the statistical characteristics of vector polygons, the article describes the adaptation of the method for calculating spatial density and interquantile zones for linear and point objects. As an example, the article describes the results of analyzing the position of landfast ice (polygonal objects), icebergs (point objects), and navigation routes of ships in the Arctic according to AIS data (linear objects). © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

AB - An efficient algorithm of recursive calculation of the probability of intersection of an unlimited number of vector polygons is created. The developed algorithm can be used for statistical analysis of any data presented as polygonal objects. Such objects are used in many Earth sciences, including geology, hydrometeorology, and glaciology, for example, to describe the edges of ice, the boundary of glaciers, permafrost, snow cover, and the position of certain isolines (isotherms, isobars, etc.). In addition to the algorithm for calculating the statistical characteristics of vector polygons, the article describes the adaptation of the method for calculating spatial density and interquantile zones for linear and point objects. As an example, the article describes the results of analyzing the position of landfast ice (polygonal objects), icebergs (point objects), and navigation routes of ships in the Arctic according to AIS data (linear objects). © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

KW - AIS data

KW - Analysis of polygons

KW - Icebergs

KW - Landfast

KW - Spatial density

U2 - 10.1007/978-3-031-86777-4_43

DO - 10.1007/978-3-031-86777-4_43

M3 - материалы

SP - 229

EP - 234

Y2 - 26 November 2023 through 30 November 2023

ER -