Open AccessSelection of Tree-Size Variables for Appraisal Methods for Urban Trees According to Their Collinearity
Author(s) -
Álvaro Sánchez-Medina,
Esperanza Ayuga-Téllez,
Lucrecia Contato-Carol,
Maria Ángeles Grande-Ortíz,
Concepción González-García
Publication year - 2017
Publication title -
arboriculture and urban forestry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.222
H-Index - 47
eISSN - 2155-0778
pISSN - 1935-5297
DOI - 10.48044/jauf.2017.011
Subject(s) - collinearity , multicollinearity , tree (set theory) , statistics , mathematics , selection (genetic algorithm) , variable (mathematics) , variables , multivariate statistics , econometrics , geography , regression analysis , computer science , machine learning , mathematical analysis
The methods for appraising urban trees and municipal inventories in use today are expensive and require quantitative and qualitative variables with a high measurement cost. They are mathematically formulated from at least one tree-size variable to define a tree-size value. Researchers present a statistical methodology to analyze tree-size variables applied in appraisal methods for urban trees. A multivariate analysis method was carried out in order to obtain the lowest number of variables that explain the greatest variability of urban trees with no multicollinearity problems. The study was applied to urban trees in the City of Santiago del Estero, Argentina. The variables that showed the lowest collinearity were age and canopy area. The work includes a discussion of the use of correlated variables in appraisal methods for urban trees.