Integration of Multinomial-Logistic and Markov-Chain Models to Derive Land-Use Change Dynamics

Author:

Hao Cui1,Zhang Jiahua2,Li Hongyuan3,Yao Fengmei4,Huang Huanchun5,Meng Weiqing6

Affiliation:

1. Laboratory for Remote Sensing and Climate Change Information, Chinese Academy of Meteorological Sciences, Beijing 100081, China.

2. Professor, Laboratory of Digital Earth Sciences, Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China (corresponding author).

3. Professor, College of Environmental Science and Engineering, Nankai Univ., Tianjin 300071, China.

4. Associate Professor, College of Earth Sciences, Univ. of Chinese Academy of Sciences, Beijing 100049, China.

5. School of Architecture, Tianjin Univ., Tianjin 300072, China.

6. College of Urban and Environmental Science, Tianjin Normal Univ., Tianjin 300387, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Urban Studies,Development,Geography, Planning and Development,Civil and Structural Engineering

Reference55 articles.

1. Digital soil mapping at pilot sites in the northwest coast of Egypt: A multinomial logistic regression approach;Abdel-Kader F. H.;Egypt. J. Rem. Sens. Space Sci.,2011

2. ArcInfo 7.1.1 [Computer software]. Environmental Systems Research Institute Redlands CA.

3. Modelling land use change with generalized linear models—a multi-model analysis of change between 1860 and 2000 in Gallatin Valley, Montana

4. Analysing the effects of soil properties changes associated with land use changes on the simulated water balance: A comparison of three hydrological catchment models for scenario analysis

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