NDLI: Implementation of a vector-based cellular automata model for simulating land-use changes

Content Provider	IEEE Xplore Digital Library
Author	Min Cao
Copyright Year	2011
Description	Author affiliation: Key Laboratory of Virtual Geographical Environment, Ministry of Education, Nanjing Normal University, Nanjing, China (Min Cao)
Abstract	In the last few years, cellular automata (CA) models have been increasingly used to simulate the complex land-use changes. However, the traditional regular raster-based CA models are sensitive to the cell size and the neighborhood configuration used in the models, which restrict its ability to simulate the real world. By representing space as irregular shape and size geographic objects and defining artificial neural network as transition rule, a vector-based CA model is constructed and applied to the simulation and prediction of land-use changes. By taking the north branch of Yangtze River estuary as an example, studies illustrated that the vector-based CA model can make full use of artificial neural network to obtain the variable space parameters and simplify the land-use transfer rule. It is concluded that the vector-based CA model produces more realistic spatial patterns than those generated by a raster-based CA model.
Starting Page	1
Ending Page	5
File Size	151334
Page Count	5
File Format	PDF
ISBN	9781612848495
ISSN	21610258
e-ISBN	9781612848488
DOI	10.1109/GeoInformatics.2011.5980945
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Land-use changes Object oriented modeling Computational modeling Neurons Geographic information system Automata Artificial neural networks Planning Cellular automata Artificial neural network
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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