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Agent-based Spatial Simulation with NetLogo, Volume 2

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Release : 2016-11-26
Genre : Computers
Kind : eBook
Book Rating : 648/5 ( reviews)

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Book Synopsis Agent-based Spatial Simulation with NetLogo, Volume 2 by : Arnaud Banos

Download or read book Agent-based Spatial Simulation with NetLogo, Volume 2 written by Arnaud Banos. This book was released on 2016-11-26. Available in PDF, EPUB and Kindle. Book excerpt: Whereas Volume 1 introduced the NetLogo platform as a means of prototyping simple models, this second volume focuses on the advanced use of NetLogo to connect both data and theories, making it ideal for the majority of scientific communities. The authors focus on agent-based modeling of spatialized phenomena with a methodological and practical orientation, demonstrating how advanced agent-based spatial simulation methods and technics can be implemented. This book provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content. Illustrates advanced concepts and methods in agent-based spatial simulation Features practical examples developed, and commented on, in a unique platform Provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content

Agent-Based Spatial Simulation with NetLogo Volume 1

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Author :
Release : 2015-08-26
Genre : Computers
Kind : eBook
Book Rating : 23X/5 ( reviews)

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Book Synopsis Agent-Based Spatial Simulation with NetLogo Volume 1 by : Arnaud Banos

Download or read book Agent-Based Spatial Simulation with NetLogo Volume 1 written by Arnaud Banos. This book was released on 2015-08-26. Available in PDF, EPUB and Kindle. Book excerpt: Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agent models are as much tools of understanding, exploration and adaptation as they are media for interdisciplinary exchange. It is in this kind of framework that this book is situated, beginning with agent-based modeling of spatialized phenomena with a methodological and practical orientation. Through a governing example, taking inspiration from a real problem in epidemiology, this book proposes, with pedagogy and economy, a guide to good practices of agent modeling. The reader will thus be able to understand and put the modeling into practice and acquire a certain amount of autonomy. Featuring the following well-known techniques and tools: Modeling, such as UML, Simulation, such as the NetLogo platform, Exploration methods, Adaptation using participative simulation

Spatial Microsimulation with R

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Release : 2017-09-07
Genre : Computers
Kind : eBook
Book Rating : 16X/5 ( reviews)

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Book Synopsis Spatial Microsimulation with R by : Robin Lovelace

Download or read book Spatial Microsimulation with R written by Robin Lovelace. This book was released on 2017-09-07. Available in PDF, EPUB and Kindle. Book excerpt: Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex Behaviors The book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own Data Full of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.

Agent-Based Spatial Simulation with NetLogo

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Author :
Release : 2016-01-11
Genre : Science
Kind : eBook
Book Rating : 880/5 ( reviews)

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Book Synopsis Agent-Based Spatial Simulation with NetLogo by : Arnaud Banos

Download or read book Agent-Based Spatial Simulation with NetLogo written by Arnaud Banos. This book was released on 2016-01-11. Available in PDF, EPUB and Kindle. Book excerpt: The work presented here illustrates, using the heavily utilized free software NetLogo, the main principles of agent-based spatial simulation. It will provide theoretical and conceptual backgrounds as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content.

An Introduction to Agent-Based Modeling

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Author :
Release : 2015-04-03
Genre : Computers
Kind : eBook
Book Rating : 894/5 ( reviews)

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Book Synopsis An Introduction to Agent-Based Modeling by : Uri Wilensky

Download or read book An Introduction to Agent-Based Modeling written by Uri Wilensky. This book was released on 2015-04-03. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach—with hundreds of examples and exercises using NetLogo—enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.

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