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Bibliographic Details
Main Author: Daniela Cunha da Sé
Format: Artículo científico
Language:en
Published: Universidade Federal de Lavras 2013
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Online Access:https://www.redalyc.org/articulo.oa?id=74429306007
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Table of Contents:
  • USE OF THE CORRELATION COEFFICIENT BETWEEN PLOTS IN ORDER TO IMPROVE THE ACCURACY OF FOREST INVENTORIES Daniela Cunha da Sé José Márcio de Mello João Domingos Scalon Joel Augusto Muniz Marcelo Silva de Oliveira José Roberto Soares Scolforo Agrociencias Sampling native forest variance of the mean Forest inventories are usually compiled without taking into account the existing correlations between sampling units, which is debatable particularly where the calculations involve environmental variables. When the potential correlations between sampling units are overlooked, the accuracy of such inventories becomes distorted in terms of the confidence interval range for the variable of interest, which is volume in cubic meters. The magnitude and form of such distortion will vary according to the correlation intensity between sampling units. This study aimed to present an analysis of the addition of the correlation coefficient to the calculation of the variance of the mean in a systematic sampling procedure of a native forest population or area, as well as its impact on the accuracy of the resulting estimates, with the assumption of independence between sampling units and with the addition of a correlation between sampling units as suggested by Cochran. Results revealed that, where the correlation coefficient was added to the variance of the mean formula, it increased inventory accuracy by about 14.3%, leading to the conclusion that such an effect will occur in any forest inventory being compiled for any forest population or area of interest. 2013 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74429306007 en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.4 Vol.19