Agent Based Models And Complexity Science In The Age Of Geospatial Big Data
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Agent-Based Models and Complexity Science in the Age of Geospatial Big Data by Liliana Perez,Eun-Kyeong Kim,Raja Sengupta Pdf
This book contains a selection of papers presented during a special workshop on Complexity Science organized as part of the 9th International Conference on GIScience 2016. Expert researchers in the areas of Agent-Based Modeling, Complexity Theory, Network Theory, Big Data, and emerging methods of Analysis and Visualization for new types of data explore novel complexity science approaches to dynamic geographic phenomena and their applications, addressing challenges and enriching research methodologies in geography in a Big Data Era.
Agent-Based Modelling and Geographical Information Systems by Andrew Crooks,Nicolas Malleson,Ed Manley,Alison Heppenstall Pdf
This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and human action, and interaction. Agent-Based Models (ABM) - computational models which simulate human action and interaction – do just that. This textbook explains how to design and build ABM and how to link the models to Geographical Information Systems. It guides you from the basics through to constructing more complex models which work with data and human behaviour in a spatial context. All of the fundamental concepts are explained and related to practical examples to facilitate learning (with models developed in NetLogo with all code examples available on the accompanying website). You will be able to use these models to develop your own applications and link, where appropriate, to Geographical Information Systems. All of the key ideas and methods are explained in detail: geographical modelling; an introduction to ABM; the fundamentals of Geographical Information Science; why ABM and GIS; using QGIS; designing and building an ABM; calibration and validation; modelling human behavior. An applied primer, that provides fundamental knowledge and practical skills, it will provide you with the skills to build and run your own models, and to begin your own research projects.
Computational Science – ICCS 2022 by Derek Groen,Clélia de Mulatier,Maciej Paszynski,Valeria V. Krzhizhanovskaya,Jack J. Dongarra,Peter M. A. Sloot Pdf
The four-volume set LNCS 13350, 13351, 13352, and 13353 constitutes the proceedings of the 22ndt International Conference on Computational Science, ICCS 2022, held in London, UK, in June 2022.* The total of 175 full papers and 78 short papers presented in this book set were carefully reviewed and selected from 474 submissions. 169 full and 36 short papers were accepted to the main track; 120 full and 42 short papers were accepted to the workshops/ thematic tracks. *The conference was held in a hybrid format
João M. F. Rodrigues,Pedro J. S. Cardoso,Jânio Monteiro,Roberto Lam,Valeria V. Krzhizhanovskaya,Michael H. Lees,Jack J. Dongarra,Peter M.A. Sloot
Author : João M. F. Rodrigues,Pedro J. S. Cardoso,Jânio Monteiro,Roberto Lam,Valeria V. Krzhizhanovskaya,Michael H. Lees,Jack J. Dongarra,Peter M.A. Sloot Publisher : Springer Page : 828 pages File Size : 49,7 Mb Release : 2019-06-07 Category : Computers ISBN : 9783030227500
Computational Science – ICCS 2019 by João M. F. Rodrigues,Pedro J. S. Cardoso,Jânio Monteiro,Roberto Lam,Valeria V. Krzhizhanovskaya,Michael H. Lees,Jack J. Dongarra,Peter M.A. Sloot Pdf
The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Movement Ecology of Neotropical Forest Mammals by Rafael Reyna-Hurtado,Colin A. Chapman Pdf
This book brings a unique perspective to animal movement studies because all cases came from tropical environments where the great diversity, either biological and structurally (trees, shrubs, vines, epiphytes), presents the animal with several options to fulfill its live requirements. These conditions have forced the evolution of unique movement patterns and ecological strategies. Movement is an essential process in the life of all organisms. Animals move because they are hungry, thirsty, to avoid being eaten, or because they want to find mates. Understanding the causes and consequences of animal movement is not an easy task for behavioural ecologists. Many animals are shy, move in secretive ways and are very sensible to human presence, therefore, studying the movements of mammals in tropical environments present logistical and methodological challenges that have recently started to be solved by ecologist around the world. In this book we are compiling a set of extraordinary cases where researchers have used some of the modern technology and the strongest methodological approaches to understand movement patterns in wild tropical mammals. We hope this book will inspire and encourage young researchers to investigate wild mammal ́s movements in some of the amazing tropical environments of the world.
Urban Informatics and Future Cities by S. C. M. Geertman,Christopher Pettit,Robert Goodspeed,Aija Staffans Pdf
This book forms a selection of chapters submitted for the CUPUM (Computational Urban Planning and Urban Management) conference, held in the second week of June 2021 at Aalto University in Helsinki, Finland. Chapters were selected from a double-blind review process by the conference's scientific committee. The chapters in the book cover developments and applications with big data and urban analytics, collaborative urban planning, applications of geodesign and innovations, and planning support science.
The Routledge Handbook of Research Methods for Social-Ecological Systems by Reinette Biggs,Alta de Vos,Rika Preiser,Hayley Clements,Kristine Maciejewski,Maja Schlüter Pdf
The Routledge Handbook of Research Methods for Social-Ecological Systems provides a synthetic guide to the range of methods that can be employed in social-ecological systems (SES) research. The book is primarily targeted at graduate students, lecturers and researchers working on SES, and has been written in a style that is accessible to readers entering the field from a variety of different disciplinary backgrounds. Each chapter discusses the types of SES questions to which the particular methods are suited and the potential resources and skills required for their implementation, and provides practical examples of the application of the methods. In addition, the book contains a conceptual and practical introduction to SES research, a discussion of key gaps and frontiers in SES research methods, and a glossary of key terms in SES research. Contributions from 97 different authors, situated at SES research hubs in 16 countries around the world, including South Africa, Sweden, Germany and Australia, bring a wealth of expertise and experience to this book. The first book to provide a guide and introduction specifically focused on methods for studying SES, this book will be of great interest to students and scholars of sustainability science, environmental management, global environmental change studies and environmental governance. The book will also be of interest to upper-level undergraduates and professionals working at the science–policy interface in the environmental arena.
Towards Bayesian Model-Based Demography by Jakub Bijak Pdf
This open access book presents a ground-breaking approach to developing micro-foundations for demography and migration studies. It offers a unique and novel methodology for creating empirically grounded agent-based models of international migration – one of the most uncertain population processes and a top-priority policy area. The book discusses in detail the process of building a simulation model of migration, based on a population of intelligent, cognitive agents, their networks and institutions, all interacting with one another. The proposed model-based approach integrates behavioural and social theory with formal modelling, by embedding the interdisciplinary modelling process within a wider inductive framework based on the Bayesian statistical reasoning. Principles of uncertainty quantification are used to devise innovative computer-based simulations, and to learn about modelling the simulated individuals and the way they make decisions. The identified knowledge gaps are subsequently filled with information from dedicated laboratory experiments on cognitive aspects of human decision-making under uncertainty. In this way, the models are built iteratively, from the bottom up, filling an important epistemological gap in migration studies, and social sciences more broadly.
Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes by H. Randy Gimblett Pdf
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.
Author : Alan G. Wilson Publisher : John Wiley & Sons Page : 431 pages File Size : 47,6 Mb Release : 2016-09-26 Category : Mathematics ISBN : 9781118922279
Approaches to Geo-mathematical Modelling by Alan G. Wilson Pdf
Geo-mathematical modelling: models from complexity science Sir Alan Wilson, Centre for Advanced Spatial Analysis, University College London Mathematical and computer models for a complexity science tool kit Geographical systems are characterised by locations, activities at locations, interactions between them and the infrastructures that carry these activities and flows. They can be described at a great variety of scales, from individuals and organisations to countries. Our understanding, often partial, of these entities, and in many cases this understanding is represented in theories and associated mathematical models. In this book, the main examples are models that represent elements of the global system covering such topics as trade, migration, security and development aid together with examples at finer scales. This provides an effective toolkit that can not only be applied to global systems, but more widely in the modelling of complex systems. All complex systems involve nonlinearities involving path dependence and the possibility of phase changes and this makes the mathematical aspects particularly interesting. It is through these mechanisms that new structures can be seen to ‘emerge’, and hence the current notion of ‘emergent behaviour’. The range of models demonstrated include account-based models and biproportional fitting, structural dynamics, space-time statistical analysis, real-time response models, Lotka-Volterra models representing ‘war’, agent-based models, epidemiology and reaction-diffusion approaches, game theory, network models and finally, integrated models. Geo-mathematical modelling: Presents mathematical models with spatial dimensions. Provides representations of path dependence and phase changes. Illustrates complexity science using models of trade, migration, security and development aid. Demonstrates how generic models from the complexity science tool kit can each be applied in a variety of situations This book is for practitioners and researchers in applied mathematics, geography, economics, and interdisciplinary fields such as regional science and complexity science. It can also be used as the basis of a modelling course for postgraduate students.
A Depth Psychology Model of Immigration and Adaptation by Phyllis Marie Jensen Pdf
A Depth Psychology Study of Immigration and Adaptation: The Migrant’s Journey brings current academic research from a range of disciplines into a 12-stage model of human migration. Based on Joseph Campbell’s hero’s journey, this depth psychology model addresses pre-migration reasons for leaving, the ordeals of the journey and challenges of post-migration adaptation. One-third of migrants return to homelands while those who remain in newlands face the triple challenges of building a new life, a new identity and sense of belonging. While arrivées carry homelands within, their children, the second generation, born and raised in the newland usually have access to both cultures which enables them to make unique contributions to society. Vital to successful newland adaptation is the acceptance and support of immigrants by host countries. A Depth Psychology Study of Immigration and Adaptation will be an important resource for academics and students in the social sciences, clinical psychologists, health care and social welfare workers, therapists of all backgrounds, policy makers and immigrants themselves seeking an understanding of the inner experiences of migration.
Agent-Based Models of Geographical Systems by Alison J. Heppenstall,Andrew T. Crooks,Linda M. See,Michael Batty Pdf
This unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area. Specific geographical issues such as handling scale and space are dealt with as well as practical advice from leading experts about designing and creating ABMs, handling complexity, visualising and validating model outputs. With contributions from many of the world’s leading research institutions, the latest applied research (micro and macro applications) from around the globe exemplify what can be achieved in geographical context. This book is relevant to researchers, postgraduate and advanced undergraduate students, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, social simulation modelling and geographical information sciences.
National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Division on Earth and Life Studies,Board on Atmospheric Sciences and Climate,Mapping Science Committee,Board on Earth Sciences and Resources,Committee on Models of the World for the National Geospatial-Intelligence Agency
Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Division on Earth and Life Studies,Board on Atmospheric Sciences and Climate,Mapping Science Committee,Board on Earth Sciences and Resources,Committee on Models of the World for the National Geospatial-Intelligence Agency Publisher : National Academies Press Page : 135 pages File Size : 47,5 Mb Release : 2016-10-31 Category : Science ISBN : 9780309449946
From Maps to Models by National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Division on Earth and Life Studies,Board on Atmospheric Sciences and Climate,Mapping Science Committee,Board on Earth Sciences and Resources,Committee on Models of the World for the National Geospatial-Intelligence Agency Pdf
The United States faces numerous, varied, and evolving threats to national security, including terrorism, scarcity and disruption of food and water supplies, extreme weather events, and regional conflicts around the world. Effectively managing these threats requires intelligence that not only assesses what is happening now, but that also anticipates potential future threats. The National Geospatial-Intelligence Agency (NGA) is responsible for providing geospatial intelligence on other countriesâ€"assessing where exactly something is, what it is, and why it is importantâ€"in support of national security, disaster response, and humanitarian assistance. NGA's approach today relies heavily on imagery analysis and mapping, which provide an assessment of current and past conditions. However, augmenting that approach with a strong modeling capability would enable NGA to also anticipate and explore future outcomes. A model is a simplified representation of a real-world system that is used to extract explainable insights about the system, predict future outcomes, or explore what might happen under plausible what-if scenarios. Such models use data and/or theory to specify inputs (e.g., initial conditions, boundary conditions, and model parameters) to produce an output. From Maps to Models: Augmenting the Nation's Geospatial Intelligence Capabilities describes the types of models and analytical methods used to understand real-world systems, discusses what would be required to make these models and methods useful for geospatial intelligence, and identifies supporting research and development for NGA. This report provides examples of models that have been used to help answer the sorts of questions NGA might ask, describes how to go about a model-based investigation, and discusses models and methods that are relevant to NGA's mission.
Integrating Geographic Information Systems and Agent-based Modeling Techniques for Simulating Social and Ecological Processes by H. Randy Gimblett Pdf
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.
