Comparison of parametric and nonparametric methods for modeling height-diameter relationships

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F17%3A43910797" target="_blank" >RIV/62156489:43410/17:43910797 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3832/ifor1928-009" target="_blank" >https://doi.org/10.3832/ifor1928-009</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3832/ifor1928-009" target="_blank" >10.3832/ifor1928-009</a>

Result language

angličtina

Original language name

Comparison of parametric and nonparametric methods for modeling height-diameter relationships

Original language description

This paper focuses on the problem of regionalization of the height-diameter model at the stand level. To this purpose, we selected two different modeling techniques. As a parametric method, we chose a linear mixed effects model (LME) with calibrated conditional prediction, whose calibration was carried out on randomly selected trees either close to mean diameter or within three diameter intervals throughout the diameter range. As a nonparametric method, the technique of classification and regression trees (CART) was chosen. These two methods were also compared with the local model created by ordinary least squares regression. The results show that LME with calibrated conditional prediction based on measurements of height at three diameter intervals provided results very close to the local model, especially when six to nine trees are measured. We recommend this technique for the regionalization of the global model. The CART method provided worse results than LME, with the exception of parameters of the residual distribution. Nevertheless, the latter approach is very user-friendly, as the regression tree creation and especially its interpretation are relatively simple, and could be recommended when larger deviations are allowed.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

40102 - Forestry

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

iForest

ISSN

1971-7458

e-ISSN

—

Volume of the periodical

10

Issue of the periodical within the volume

February

Country of publishing house

IT - ITALY

Number of pages

8

Pages from-to

1-8

UT code for WoS article

000395862000001

EID of the result in the Scopus database

2-s2.0-85011846574