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Proceedings Paper

Statistical frameworking of deforestation models based on human population density and relief energy
Author(s): Ryuei Nishii; Daiki Miyata; Shojiro Tanaka
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Paper Abstract

This paper establishes a statistical framework of forest coverage models for spatio-temporal data. The forest coverage ratio of grid-cell data is modeled by taking human population density and relief energy as explanatory variables. The likelihood of the forest ratios is decomposed by the product of two likelihoods. The first likelihood discussed by Nishii and Tanaka (2010) is due to trinomial logistic distributions on three categories: the ratios take zero, one, or values between zero and one. We consider a precise modeling to the second likelihood for partlydeforested ratios by considering a) spline functions to the additive mean structure, b) wide spatial dependency of normal error terms, and c) an extended logistic type transform to the forest ratio. For spatio-temporal data, we implement auto-regressive terms based on the ratios observed in past. The proposed model was applied to real grid-cell data and resulted significant improvement compared to our previous model.

Paper Details

Date Published: 25 October 2012
PDF: 8 pages
Proc. SPIE 8538, Earth Resources and Environmental Remote Sensing/GIS Applications III, 85380K (25 October 2012); doi: 10.1117/12.974583
Show Author Affiliations
Ryuei Nishii, Kyushu Univ. (Japan)
Daiki Miyata, Kyushu Univ. (Japan)
Shojiro Tanaka, Shimane Univ. (Japan)

Published in SPIE Proceedings Vol. 8538:
Earth Resources and Environmental Remote Sensing/GIS Applications III
Shahid Habib; Ulrich Michel; Daniel L. Civco; David Messinger; Antonino Maltese; Manfred Ehlers; Karsten Schulz; Konstantinos G. Nikolakopoulos, Editor(s)

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