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What is Cellular Automata

Handbook of Research on Geoinformatics
A spatiotemporal modeling technique in which a set of rules is applied to determine the state transitions of individual cells based on each cell’s current state and the states of its neighbors.
Published in Chapter:
Challenges and Critical Issues for Temporal GIS Research and Technologies
May Yuan (University of Oklahoma, USA)
Copyright: © 2009 |Pages: 10
DOI: 10.4018/978-1-59140-995-3.ch019
Abstract
Temporal Geographic Information Systems (GIS) technology has been a top research subject since late the 1980s. Langran’s Time in Geographic Information Systems (Langran, 1992) sets the first milestone in research that addresses the integration of temporal information and functions into GIS frameworks. Since then, numerous monographs, books, edited collections, and conference proceedings have been devoted to related subjects. There is no shortage of publications in academic journals or trade magazines on new approaches to temporal data handling in GIS, or on conceptual and technical advances in spatiotemporal representation, reasoning, database management, and modeling. However, there is not yet a full-scale, comprehensive temporal GIS available. Most temporal GIS technologies developed so far are either still in the research phase (e.g., TEMPEST developed by Peuquet and colleagues at Pennsylvania State University in the United States) or with an emphasis on mapping (e.g., STEMgis developed by Discovery Software in the United Kingdom).
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More Results
A Language Shift Simulation Based on Cellular Automata
Discrete dynamic systems that evolve in space and time. A cellular automaton is composed of a set of discrete elements – the cells – connected with other cells of the automaton, and in each time unit each cell receives information about the current state of the cells to which it is connected. The cellular automaton evolve according a transition rule that specifies the current possible states of each cell as a function of the preceding state of the cell and the states of the connected cells.
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Agent-Based Modeling: A Historical Perspective and a Review of Validation and Verification Efforts
A discrete model consisting of a grip of cells each of which have a finite number of defined states where the state of a cells is a function of the states of neighboring cells and the transition among states is according to some predefined updating rule.
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Artificially in Social Sciences
Lattice of sites whose states—belonging to a finite set—evolve in discrete time step according to rules depending on the states of the neighbors’ sites.
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