Title :
Time series analysis of average current annual increase in diameter of uneven-aged stand
Author :
Xiaoli Fan ; Hua Yang ; Xingang Kang ; Yan Gao ; Qixiang Feng ; Zhiwen Gong
Author_Institution :
Key Lab. for Silviculture & Conservation of Minist. of Educ. Coll. of Forestry, Beijing Forestry Univ., Beijing, China
Abstract :
According to Box-Jenkins principle and ARIMA model, the time series of the average diameter Current Annual Increment of Sabina przewalskii Kom Uneven-Aged Stand was fitted and predicted. A model was constructed and predicted for the sample tree data by Eviews software to select the form of the optimal model. The results showed that the AR(2) model was better fitting the series of the average Diameter Current Annual Increment R2=0.4861 and Bias was small. ARIMA model was used for short-term prediction of the series of diameter, which is very useful for prediction of the diameter growth.
Keywords :
autoregressive moving average processes; forestry; time series; tree data structures; AR model; ARIMA model; Box-Jenkins principle; Eviews software; Sabina przewalskii Kom uneven-aged stand; average diameter current annual increment; sample tree data; time series analysis; Analytical models; Correlation; Data models; Forestry; Mathematical model; Predictive models; Time series analysis; ARIMA model; Current Annual Increment; Sabina przewalskii Kom; average diameter; time series;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019800
