Non-linear regression models to identify functional forms of deforestation

Sojiro Tanaka, Ryuei Nishii

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトル2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ49-52
ページ数4
1
ISBN(印刷版)9781424428083
DOI
出版ステータス出版済み - 2008
イベント2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, 米国
継続期間: 7 6 20087 11 2008

出版物シリーズ

名前International Geoscience and Remote Sensing Symposium (IGARSS)
番号1
4

その他

その他2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Country米国
CityBoston, MA
Period7/6/087/11/08

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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