TY - GEN
T1 - An application of novel zero-one inflated distributions with spatial dependence for the deforestation modeling
AU - Nishii, Ryuei
AU - Tanaka, Shojiro
PY - 2010
Y1 - 2010
N2 - This paper considers statistical modeling of deforestation. Forest coverage ratio of grid-cell data was modeled by two covariates: human population density and relief energy. Conditional likelihood of the forest ratios given the covariates was decomposed by product of two likelihoods. The first one is due to trinomial logistic distributions on three classes: the ratios take zero, one or values between zero and one. The second one is due to a logistic-normal regression model for the ratios between zero and one. This model was applied to the real grid-cell data, and led remarkably interesting implications.
AB - This paper considers statistical modeling of deforestation. Forest coverage ratio of grid-cell data was modeled by two covariates: human population density and relief energy. Conditional likelihood of the forest ratios given the covariates was decomposed by product of two likelihoods. The first one is due to trinomial logistic distributions on three classes: the ratios take zero, one or values between zero and one. The second one is due to a logistic-normal regression model for the ratios between zero and one. This model was applied to the real grid-cell data, and led remarkably interesting implications.
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U2 - 10.1109/IGARSS.2010.5654397
DO - 10.1109/IGARSS.2010.5654397
M3 - Conference contribution
AN - SCOPUS:78650895150
SN - 9781424495658
SN - 9781424495665
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3442
EP - 3445
BT - 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Y2 - 25 July 2010 through 30 July 2010
ER -