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Probability of Deriving a Yearly Transition Probability Matrix for Land-Use Dynamics

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Title: Probability of Deriving a Yearly Transition Probability Matrix for Land-Use Dynamics
Authors: Hasegawa, Shigeaki F. Browse this author
Takada, Takenori Browse this author
Keywords: land-use dynamics
transition probability matrix
yearly transition
power root of matrix
Issue Date: Nov-2019
Publisher: MDPI
Journal Title: Sustainability
Volume: 11
Issue: 22
Start Page: 6355
Publisher DOI: 10.3390/su11226355
Abstract: Takada's group developed a method for estimating the yearly transition matrix by calculating the mth power roots of a transition matrix with an interval of m years. However, the probability of obtaining a yearly transition matrix with real and positive elements is unknown. In this study, empirical verification based on transition matrices from previous land-use studies and Monte-Carlo simulations were conducted to estimate the probability of obtaining an appropriate yearly transition probability matrix. In 62 transition probability matrices of previous land-use studies, 54 (87%) could provide a positive or small-negative solution. For randomly generated matrices with differing sizes or power roots, the probability of obtaining a positive or small-negative solution is low. However, the probability is relatively large for matrices with large diagonal elements, exceeding 90% in most cases. These results indicate that Takada et al.'s method is a powerful tool for analyzing land-use dynamics.
Type: article
Appears in Collections:低温科学研究所 (Institute of Low Temperature Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 長谷川 成明

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