NDLI: Derivation of a yearly transition probability matrix for land-use dynamics and its applications

Content Provider	Springer Nature Link
Author	Takada, Takeri Miyamoto, Asako Hasegawa, Shigeaki F.
Copyright Year	2009
Abstract	Transition matrices have often been used in landscape ecology and GIS studies of land-use to quantitatively estimate the rate of change. When transition matrices for different observation periods are compared, the observation intervals often differ because satellite images or photographs of the research site taken at constant time intervals may not be available. If the observation intervals differ, the transition probabilities cannot be compared without calculating a transition matrix with the normalized observation interval. For such calculation, several previous studies have utilized a linear algebra formula of the power root of matrices. However, three difficulties may arise when applying this formula to a practical dataset from photographs of a research site. We examined the first difficulty, namely that plural solutions could exist for a yearly transition matrix, which implies that there could be multiple scenarios for the same transition in land-use change. Using data for the Abukuma Mountains in Japan and the Selva el Ocote Biosphere Reserve in Mexico, we then looked at the second difficulty, in which we may obtain no positive Markovian matrix and only a matrix partially consisting of negative numbers. We propose a way to calibrate a matrix with some negative transition elements and to estimate the prediction error. Finally, we discuss the third difficulty that arises when a new land-use category appears at the end of the observation period and how to solve it. We developed a computer program to calculate and calibrate the yearly matrices and to estimate the prediction error.
Starting Page	561
Ending Page	572
Page Count	12
File Format	PDF
ISSN	09212973
Journal	Landscape Ecology
Volume Number	25
Issue Number	4
e-ISSN	15729761
Language	English
Publisher	Springer Netherlands
Publisher Date	2009-12-10
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Abukuma Mountains (Japan) Computer program Multiple scenarios n-th power roots of matrices Observation interval Plant Sciences Ecology Forestry Plant Ecology Landscape Ecology Forestry Management
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Ecology Nature and Landscape Conservation

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