CELLULAR AUTOMATA MODELLING APPROACH FOR URBAN GROWTH-Reference-Cited by-同舟云学术

CELLULAR AUTOMATA MODELLING APPROACH FOR URBAN GROWTH

Published:2018 Issue:0 Volume:6 Page:93-104
ISSN:2187-090X
Container-title:Reviews in Agricultural Science
language:en
Short-container-title:RAS

Author:

Otgonbayar Mendbayar¹,Badarifu ²,Ranatunga Tharangika¹,Onishi Takeo³,Hiramatsu Ken³

Affiliation:

1. United Graduate School of Agricultural Science, Gifu University

2. Faculty of Civil Engineering, Hetao College

3. Faculty of Applied Biological Sciences, Gifu University

Publisher

United Graduate School of Agricultural Science

Subject

General Agricultural and Biological Sciences

Link

https://www.jstage.jst.go.jp/article/ras/6/0/6_93/_pdf

Reference86 articles.

1. Adamatzky AI (1996) Voronoi-like partition of lattice in cellular automata. Math. Comput. Modelling, 23(4): 51-66.

2. Alsharif AAA and Pradhan B (2013) Urban sprawl analysis of Tripoli metropolitan City (Libya) Using Remote Sensing Data and Multivariate Logistic Regression Model. J Ind. Soc Remote Sensing, 42(1): 149-163.

3. Barbier E and Chaudhry A M (2014) Urban growth and water. Water Resources Economics, 6: 1-17.

4. Barredo J, Kasanko M, McCormic N, and Lavalle C (2003) Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata. Landscape Urban Planning, 64: 145-160.

5. Barreira-González P, Gómez-Delgado B M and Aguilera-Benavente F (2015) From raster to vector cellular automata models: A new approach to simulate urban growth with the help of graph theory. Comp. Environ. Urban Systems, 54: 119-131.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analyzing spatiotemporal land use change using an urban growth model based on multilevel logistic regression and future land demand scenarios;Applied Geography;2023-11

2. On Farmland and Floodplains—Modeling Urban Growth Impacts Based on Global Population Scenarios in Pune, India;Land;2023-05-11

3. Explaining a century of Swiss regional development by deep learning and SHAP values;Environment and Planning B: Urban Analytics and City Science;2022-08-13

4. Dynamic simulation of urban growth and land use change using an integrated cellular automata and markov chain models: a case of Bahir Dar city, Ethiopia;Arabian Journal of Geosciences;2022-05-24