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Simulation of Complex Systems in GIS

Simulation of Complex Systems in GIS PDF Author: Patrice Langlois
Publisher: John Wiley & Sons
ISBN: 1118600991
Category : Science
Languages : en
Pages : 353

Book Description
This book provides a comprehensive view of the field of geographical modeling by dividing the topic into three parts. The first part of the work establishes the foundations of geographical modeling through the use of more general concepts, including: structure, organization, system, geometries, topologies, metrics, material, and object. Finally, introduction of the concept of time leads to the theories of process and spatial interaction, which are fundamental in geography. The second part of the book tackles the use of computer tools for dynamic model building, which are the geographic cellular automata (GCA), and presents several models applied to various themes, such as urban growth, natural risks by flood simulations, as well as more political themes, such as the use of European funds, or the development of voting patterns in France. Finally, a general model of the geographic agents system (GAS) which can be used as a basis for the construction of a model-building platform for dynamic spatial models is presented.

Simulation of Complex Systems in GIS

Simulation of Complex Systems in GIS PDF Author: Patrice Langlois
Publisher: John Wiley & Sons
ISBN: 1118600991
Category : Science
Languages : en
Pages : 353

Book Description
This book provides a comprehensive view of the field of geographical modeling by dividing the topic into three parts. The first part of the work establishes the foundations of geographical modeling through the use of more general concepts, including: structure, organization, system, geometries, topologies, metrics, material, and object. Finally, introduction of the concept of time leads to the theories of process and spatial interaction, which are fundamental in geography. The second part of the book tackles the use of computer tools for dynamic model building, which are the geographic cellular automata (GCA), and presents several models applied to various themes, such as urban growth, natural risks by flood simulations, as well as more political themes, such as the use of European funds, or the development of voting patterns in France. Finally, a general model of the geographic agents system (GAS) which can be used as a basis for the construction of a model-building platform for dynamic spatial models is presented.

Complexity and Planning

Complexity and Planning PDF Author: Gert de Roo
Publisher: Routledge
ISBN: 1317162757
Category : Political Science
Languages : en
Pages : 494

Book Description
Complexity, complex systems and complexity theories are becoming increasingly important within a variety disciplines. While these issues are less well known within the discipline of spatial planning, there has been a recent growing awareness and interest. As planners grapple with how to consider the vagaries of the real world when putting together proposals for future development, they question how complexity, complex systems and complexity theories might prove useful with regard to spatial planning and the physical environment. This book provides a readable overview, presenting and relating a range of understandings and characteristics of complexity and complex systems as they are relevant to planning. It recognizes multiple, relational approaches of dynamic complexity which enhance understandings of, and facilitate working with, contingencies of place, time and the various participants' behaviours. In doing so, it should contribute to a better understanding of processes with regard to our physical and social worlds.

Methods and Applications for Modeling and Simulation of Complex Systems

Methods and Applications for Modeling and Simulation of Complex Systems PDF Author: Fazilah Hassan
Publisher: Springer Nature
ISBN: 981997240X
Category : Computers
Languages : en
Pages : 518

Book Description
This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 25–26, 2023. The 77 full papers included in this book were carefully reviewed and selected from 164 submissions. They were organized in topical sections as follows: Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences.

Complex Systems and Self-organization Modelling

Complex Systems and Self-organization Modelling PDF Author: Cyrille Bertelle
Publisher: Springer Science & Business Media
ISBN: 3540880739
Category : Technology & Engineering
Languages : en
Pages : 233

Book Description
This book, the outcome of a workshop meeting within ESM 2006, explores the use of emergent computing and self-organization modeling within various applications of complex systems.

Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems

Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems PDF Author: Lin Zhang
Publisher: Springer
ISBN: 9811026696
Category : Computers
Languages : en
Pages : 660

Book Description
This four-volume set (CCIS 643, 644, 645, 646) constitutes the refereed proceedings of the 16th Asia Simulation Conference and the First Autumn Simulation Multi-Conference, AsiaSim / SCS AutumnSim 2016, held in Beijing, China, in October 2016. The 265 revised full papers presented were carefully reviewed and selected from 651 submissions. The papers in this third volume of the set are organized in topical sections on Cloud technologies in simulation applications; fractional calculus with applications and simulations; modeling and simulation for energy, environment and climate; SBA virtual prototyping engineering technology; simulation and Big Data.

Methods and Applications for Modeling and Simulation of Complex Systems

Methods and Applications for Modeling and Simulation of Complex Systems PDF Author: Gary Tan
Publisher: Springer Nature
ISBN: 9811510784
Category : Computers
Languages : en
Pages : 281

Book Description
This volume constitutes the proceedings of the 19th Asia Simulation Conference, AsiaSim 2019, held in Singapore, Singapore, in October 2019. The 19 revised full papers and 5 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on simulation and modeling methodology; numerical and Monte Carlo simulation; simulation applications: blockchain, deep learning and cloud; simulation and visualization; simulation applications; short papers.

Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes

Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes PDF Author: H. Randy Gimblett
Publisher: Oxford University Press
ISBN: 0198032749
Category : Science
Languages : en
Pages : 342

Book Description
This volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modelling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors, and successes in applying such algorithms, had not been adequately reported in the literature. This book seeks to serve as the standard guide to this broad area.

Modelling and Simulation of Electrical Energy Systems Through a Complex Systems Approach Using Agent-Based Models

Modelling and Simulation of Electrical Energy Systems Through a Complex Systems Approach Using Agent-Based Models PDF Author: Enrique Alberto Kremers
Publisher: KIT Scientific Publishing
ISBN: 3866449461
Category : Technology & Engineering
Languages : en
Pages : 202

Book Description
Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.

Computational Models of Complex Systems

Computational Models of Complex Systems PDF Author: Vijay Kumar Mago
Publisher: Springer Science & Business Media
ISBN: 3319012851
Category : Technology & Engineering
Languages : en
Pages : 199

Book Description
Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.

Automated Generation of Geometrically-Precise and Semantically-Informed Virtual Geographic Environments Populated with Spatially-Reasoning Agents

Automated Generation of Geometrically-Precise and Semantically-Informed Virtual Geographic Environments Populated with Spatially-Reasoning Agents PDF Author: Mehdi Mekni
Publisher: Universal-Publishers
ISBN: 1599423715
Category :
Languages : en
Pages : 235

Book Description
Multi-Agent Geo-Simulation (MAGS) is a modelling paradigm which has attracted a growing interest from researchers and practitioners for the study of various phenomena in a variety of domains such as traffic simulation, urban dynamics, environment monitoring, as well as changes of land use and cover, to name a few. These phenomena usually involve a large number of simulated actors (implemented as software agents) evolving in, and interacting with, an explicit spatial environment representation commonly called Virtual Geographic Environment (VGE). Since a geographic environment may be complex and large-scale, the creation of a VGE is difficult and needs large quantities of geometrical data originating from the environment characteristics (terrain elevation, location of objects and agents, etc.) as well as semantic information that qualifies space (building, road, park, etc.). CurrentMAGS approaches usually consider the environment as a monolithic structure, which considerably reduces the capacity to handle largescale, real world geographic environments as well as agent's spatial reasoning capabilities. Moreover, the problem of path planning in MAGS involving complex and large-scale VGEs has to be solved in real time, often under constraints of limited memory and CPU resources. Available path planners provide agents with obstacle-free paths between two located positions in the VGE, but take into account neither the environment's characteristics (topologic and semantic) nor the agents' types and capabilities. In addition, agents evolving in a VGE lack for mechanisms and tools that allow them to acquire knowledge about their virtual environment in order to make informed decisions. In this thesis, we propose a novel approach to automatically generate a semantically-enriched and geometrically-precise representation of the geographic environment that we call Informed Virtual Geographic Environment (IVGE). Our IVGE model efficiently organizes the geographic features, precisely captures the real world complexity, and reliably represents large-scale geographic environments. We also provide a new hierarchical path planning algorithm which leverages the enriched description of the IVGE in order to support agents' reasoning capabilities while optimising computation costs and taking into account both the virtual environment's characteristics and the agents' types and capabilities. Finally, we propos an environment knowledge management approach to support the agents' spatial decision making process while interacting with the IVGE.