DocumentCode :
484475
Title :
Non-linear regression models to identify functional forms of deforestation
Author :
Tanaka, Shojiro ; Nishii, Ryuei
Author_Institution :
Fac. of Sci. & Eng., Shimane Univ., Matsue
Volume :
4
fYear :
2008
fDate :
7-11 July 2008
Abstract :
Identification of limited number of factors shall provide comprehensive general understanding of deforestation at broad scale, as well as the projection for the future. Only two factors - human population and relief energy (difference of minimum altitude from the maximum in a sampled area) - were verified if they give sufficient elucidation of deforestation by a regression model, whose functional forms identified by linear combinations of dummy variables firstly explored with use of high-precision Japanese data. Likelihood with spatial dependency was derived and applied then to East-Asian data, with which our models systematically showed eminently good relative appropriateness to the real data.
Keywords :
environmental factors; forestry; geophysical signal processing; geophysical techniques; East Asian data; deforestation; high precision Japanese data; human population; nonlinear regression model; relief energy; Additives; Humans; Mathematical model; Mathematics; Microwave measurements; Microwave sensors; Moisture measurement; Radiometers; Surface contamination; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4779653
Filename :
4779653
Link To Document :
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