Deforestation due to population and relief energy through spatially-correlated logit models

Shojiro Tanaka, Ryuei Nishii

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Deforestation is a result of complex causality chains in most cases. But identification of limited number of factors shall provide comprehensive general understanding of the vital phenomenon at broad scale, as well as projection for the future. Only two factors - human population and relief energy (difference of minimum altitude from the maximum in a sampled area) - were found to give sufficient elucidation of deforestation by a regression model, whose functional forms were verified by linear combinations of dummy variables firstly explored with use of Japanese data. Likelihood with spatial dependency was derived and applied then to East-Asian data, with which our models showed the eminently good relative appropriateness to the real data.

Original languageEnglish
Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Pages2310-2313
Number of pages4
DOIs
Publication statusPublished - Dec 1 2007
Event2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain
Duration: Jun 23 2007Jun 28 2007

Other

Other2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
CountrySpain
CityBarcelona
Period6/23/076/28/07

All Science Journal Classification (ASJC) codes

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

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    Tanaka, S., & Nishii, R. (2007). Deforestation due to population and relief energy through spatially-correlated logit models. In 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 (pp. 2310-2313). [4423303] https://doi.org/10.1109/IGARSS.2007.4423303