Effectiveness of Randomness Tests on Altered Spatial Distribution of Originally Random Trees

Tóth, Zsolt György and Novotni, Adrienn (2025) Effectiveness of Randomness Tests on Altered Spatial Distribution of Originally Random Trees. ACTA SILVATICA ET LIGNARIA HUNGARICA: AN INTERNATIONAL JOURNAL IN FOREST WOOD AND ENVIRONMENTAL SCIENCES, 21 (1). pp. 39-48. ISSN 1786-691X

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Abstract

This study investigates the sensitivity of five statistical tests (CE, quadrat 3x3, CDF, MAD, and DCLF) in detecting anomalies within originally random tree distributions in forested areas. By simulating tree disappearance due to various anomalies, the effectiveness of these tests is assessed across different tree densities and anomaly magnitudes. Results indicate that the quadrat test and Monte Carlo-based tests (MAD and DCLF) are significantly more sensitive to deviations from randomness than the CE and CDF tests, particularly in denser forests with higher levels of tree disappearance. The findings underline the importance of selecting appropriate statistical tools for analyzing spatial patterns in ecological research.

Tudományterület / tudományág

agricultural sciences > forestry and wildlife management
natural sciences > mathematics and computer sciences

Faculty

Not relevant

Institution

Soproni Egyetem

Item Type:	Article
SWORD Depositor:	Teszt Sword
Depositing User:	Csaba Horváth
Identification Number:	MTMT:36467428
Date Deposited:	03 Dec 2025 09:59
Last Modified:	03 Dec 2025 09:59
URI:	http://publicatio.uni-sopron.hu/id/eprint/3831

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