Towards an intelligent approach based on multi-agent system and cellular automata for modeling land use change

Author

Ettabaâ, K. Saheb ; Farah, I.R. ; Ahmed, M.B.

Author_Institution

Lab. de Recherche en Informatique Arabisee et Documentique Integree, Ecole Nationale des Sci. de l´´Informatique, Manouba

Volume

2

fYear

0

fDate

0-0 0

Firstpage

3064

Lastpage

3069

Abstract

In the recent years, new forms of simulation based on multispectral satellite imagery have come into popular use in geography and social science offering a significant potential for understanding the change of land use and land cover. Models and simulation issued can be characterized by an innovative approach to model dynamic and complex landscapes especially in urban phenomena. Recently, cellular automata have found their way in statistical and theoretical applications specially for modeling dynamic and complex phenomena. In an urban context, models based on cellular automata can provide valuable tools for planning and exploring urban scenarios issued from land use policies. The urban development can be represented as a self-organizing system temped by controls and constraints to pattern the urban process

Keywords

cellular automata; geographic information systems; land use planning; multi-agent systems; cellular automata; geography; land use change modeling; land use policy; multiagent system; multispectral satellite imagery; self-organizing system; social science; urban development; urban landscape modeling; urban scenario; Automata; Automatic control; Context modeling; Control systems; Geography; Intelligent agent; Land use planning; Multiagent systems; Satellites; Urban planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies, 2006. ICTTA '06. 2nd

Conference_Location

Damascus

Print_ISBN

0-7803-9521-2

Type

conf

DOI

10.1109/ICTTA.2006.1684905

Filename

1684905