Dynamic Analysis of Ecological Footprint in Liaoning Coastal Economic Zone

Author

Liu, Weiling ; Zhu, Jinghai ; Hu, Yuanman ; Wang, Wei

Volume

1

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

516

Lastpage

519

Abstract

How to predict ecological footprint is the problem need to be resolved. The methods for predicting ecological footprint based on ARMA model and support vector machine model were proposed after thoroughly studying the ecological footprint theory. Ecological footprint during planning period (2007 -2020 years) in Liaoning coastal economic zone was dynamically analyzed with the proposed methods. The results show that analyzing methods based on ARMA and SVM have high prediction accuracy, which provides an effective means for studying ecological footprint.

Keywords

autoregressive moving average processes; ecology; support vector machines; ARMA model; Liaoning coastal economic zone; dynamic ecological footprint analysis; support vector machine model; Biological system modeling; Construction industry; Economic forecasting; Environmental economics; Environmental factors; Industrial economics; Sea measurements; Shipbuilding industry; Support vector machines; Time series analysis; ARAM; Liaoning coastal economic zone; SVM; ecological footprint;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3563-0

Type

conf

DOI

10.1109/ETTandGRS.2008.191

Filename

5070209