Prediction of landscape dynamic changes in Shangri-la County based on Markov process model

Hui, Li; Su, Pengfei; Wang, Siqi; Yao, Wenjing; Xiao, Yang; Meng, Fantao; Zhang, Mengxia; Yi, Na

doi:10.1109/isra.2012.6219187

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…e degree of study has gradually deepened, from one-way effect analysis to higher-level research on interactive symbiotic interactions. e research methods have been consistently refined, from quantitative research to comprehensive research [21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Rapid Prediction Algorithm for Economic Development Trend of Tourism Using Markov Chain

Qiao

2022

Mobile Information Systems

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The environment for tourist development will be increased further if the people-centered development concept is fully implemented, and people’s desire for a colorful tourism life will be boosted. This includes the new kinetic energy of digitalization and networking, which has contributed more and more to economic development. The people-centered development concept also includes the sudden new crown pneumonia outbreak that has had a major influence on the tourism sector; the tourism industry’s robust expansion will not change as a result. There is a reason to assume that tourism will become a key business that contributes to the long-term economic and social growth of China. With the Markov chain to forecast the development tendency of the tourism economy, this paper constructs characteristic indicators such as the number of duty-free shopping on outlying islands, the per capita spending of outlying island rabbit tax shopping, and the number of ecological civilization villages, using the era of free trade ports as a backdrop. The experimental results shows that the proposed idea of this paper is realistic and can have a significant impact towards designing a national ecological civilization pilot zone, international tourism consumption center, and the creation of tropical rainforest national parks.

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Section: Introductionmentioning

confidence: 99%

Rapid Prediction Algorithm for Economic Development Trend of Tourism Using Markov Chain

Qiao

2022

Mobile Information Systems

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“…Scholars at home and abroad made many research for ecological regionalization and ecological planning [1][2][3][4][5][6][7][8], but remote multi-ethnic region have been less [9]. GIS plays an important role in ecological function division and ecological planning [10].…”

Section: Introductionmentioning

confidence: 99%

Ecological function regionalization and ecological planning in Shangri-La county based on GIS

Hui

Yang

et al. 2011

2011 19th International Conference on Geoinformatics

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Shangri-La County ecological function regionalization and planning is aim at to offer a useful reference for sustainable development strategy in the alpine valley region. The regionalization boundary lines are obtained using graphs superposition by GIS dispose. The ecological function division has been completed using graphics overlap placed method and dominant symbol method. The results shows that, Shangri-La County classified as one first-class-ecological function zone: Shangri-La Jinsha River basin ecological zone; six sub-ecological function zones: biodiversity conservation zone, water conservation zone, water and soil conservation, soil function restoration zone, ecological agriculture building zone, eco-towns building zone, eco-tourism development zone; 40 third-classecological function zones. The ecological planning is established according to above, which will proceed and complete stage by stage direction, construction and strategic implementation which are determinate by regionalization.

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Prediction of landscape dynamic changes in Shangri-la County based on Markov process model

Cited by 2 publications

References 4 publications

Rapid Prediction Algorithm for Economic Development Trend of Tourism Using Markov Chain

Rapid Prediction Algorithm for Economic Development Trend of Tourism Using Markov Chain

Ecological function regionalization and ecological planning in Shangri-La county based on GIS

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