Multivariate Analysis Applied to Forestry Agricultural Sciences: The Model-Directed Study

Angela Helena Silva Mendes Stival, Gilberto de Souza Iris Oliveira, Jessica Bezerra Bandeira, Josué Luiz Marinho Junior, Larissa da Silva Cintra, Patricia Cardoso Dias, Debora Portella Biz, Augustus Caeser Franke Portella

Multivariate Analysis, Multivariate Methods, Forest Agricultural Sciences.

This is a literature review that aimed to find articles that exemplify and describe the use of multivariate analysis in different fields of Forest Agricultural Sciences, considering effective practices using multivariate statistical techniques for the simultaneous processing of data. For data collection were selected for the meta-analysis of 70 technical articles of which 54 were employed in the study directed to the use of multivariate techniques applied in the areas of agricultural sciences. The results showed thatstudies directed to certain areas within the Forest Agricultural Sciences exhibit some regularity in the use of multivariate analysis, and most application analyzes were more usual as the Cluster Analysis (AA) and Principal Component Analysis (PCA). Thus the use of multivariate analysis studies and evaluations of experiments in Agricultural Sciences proved to great value to allow greater clarity and better interpretation of dealing with complex phenomena.

10.22161/ijaers.5.11.31