Download or read book Integration of an Irregular Cellular Automata Approach and Geographic Information Systems for High resolution Modelling of Urban Growth written by Daniel Stevens and published by . This book was released on 2005 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urban growth is a dynamic spatial process that is commonly modelled with complex systems theory and the cellular automata (CA) approach. The majority of CA models use the raster data structure to represent space and are often implemented as custom-built or geographic information systems (GIS)-coupled software. However, the regular grid presents a number of problems when used with high-resolution land use data composed of irregularly sized and shaped cadastral parcels. The objective of this study is to develop a CA model of urban growth using a high-resolution irregular spatial data structure with high temporal resolution. A GIS-embedded modelling tool named iCity was developed within a common desktop GIS to enable urban planners and stakeholders to visualize how different subdivision designs, population growth rates, and buyer preferences will influence urban development. This study contributes to the advancement of CA models and spatial decision support systems for use in urban planning.
Download or read book Modelling Urban Development with Geographical Information Systems and Cellular Automata written by Yan Liu and published by CRC Press. This book was released on 2008-12-10 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urban development and migration from rural to urban areas are impacting prime agricultural land and natural landscapes, particularly in the less developed countries. These phenomena will persist and require serious study by those monitoring global environmental change. To address this need, various models have been devised to analyze urbanization a
Download or read book Geosimulation written by Itzhak Benenson and published by John Wiley & Sons. This book was released on 2004-08-20 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geosimulation is hailed as ‘the next big thing’ in geographic modelling for urban studies. This book presents readers with an overview of this new and innovative field by introducing the spatial modelling environment and describing the latest research and development using cellular automata and multi-agent systems. Extensive case studies and working code is available from an associated website which demonstrate the technicalities of geosimulation, and provide readers with the tools to carry out their own modelling and testing. The first book to treat urban geosimulation explicitly, integrating socio-economic and environmental modelling approaches Provides the reader with a sound theoretical base in the science of geosimulation as well as applied material on the construction of geosimulation models Cross-references to an author-maintained associated website with downloadable working code for readers to apply the models presented in the book Visit the Author's Website for further information on Geosimulation, Geographic Automata Systems and Geographic Automata Software http://www.geosimulationbook.com
Download or read book Analysis of Urban Growth and Sprawl from Remote Sensing Data written by Basudeb Bhatta and published by Springer Science & Business Media. This book was released on 2010-03-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive discussion on urban growth and sprawl, and how they can be analyzed using remote sensing imageries. It compiles views of numerous researchers that help in understanding the urban growth and sprawl; their patterns, process, causes, consequences, and countermeasures; how remote sensing data and geographic information system techniques can be used in mapping, monitoring, measuring, analyzing, and simulating the urban growth and sprawl and what are the merits and demerits of available methods and models. This book will be of value for the scientists and researchers engaged in urban geographic research, especially using remote sensing imageries. This book will serve as a rigours literature review for them. Post graduate students of urban geography or urban/regional planning may refer this book as additional studies. This book may help the academicians for preparing lecture notes and delivering lectures. Industry professionals may also be benefited from the discussed methods and models along with numerous citations.
Download or read book Spatial Modeling and Assessment of Urban Form written by Biswajeet Pradhan and published by Springer. This book was released on 2017-05-08 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the application of Geospatial data, Geographic Information System (GIS) and Remote Sensing (RS) technologies in analysis and modeling of urban growth process, and its pattern, with special focus on sprawl and compact form of urban development. The book explains these two kinds of urban forms (sprawl and compact urban development) in detail regarding their advantages, disadvantages, indicators, assessment, modeling, implementation and their relationship with urban sustainability. It confirms that the proposed modeling approaches, geospatial data and GIS are very practical for identifying urban growth, land use change patterns and their general trends in future. The analyses and modeling approaches presented in this book can be employed to guide the identification and measurements of the changes and growth likely to happen in urban areas. In addition, this book can be helpful for town planning and development in order to design urban areas in a compact form and eventually sustainable manner.
Download or read book Urban Informatics written by Wenzhong Shi and published by Springer Nature. This book was released on 2021-04-06 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Download or read book Advanced Geo Simulation Models written by Danielle J. Marceau and published by Bentham Science Publishers. This book was released on 2011-09-09 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Geosimulation has recently emerged at the intersection of Geographic Information Science, Complex Systems Theory and Computer Science. Geosimulation aims at understanding the dynamics of complex human-driven spatial systems through the use of spatially ex"
Download or read book Modeling Cities and Regions as Complex Systems written by Roger White and published by MIT Press. This book was released on 2024-06-11 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory and practice of modeling cities and regions as complex, self-organizing systems, presenting widely used cellular automata-based models, theoretical discussions, and applications. Cities and regions grow (or occasionally decline), and continuously transform themselves as they do so. This book describes the theory and practice of modeling the spatial dynamics of urban growth and transformation. As cities are complex, adaptive, self-organizing systems, the most appropriate modeling framework is one based on the theory of self-organizing systems—an approach already used in such fields as physics and ecology. The book presents a series of models, most of them developed using cellular automata (CA), which are inherently spatial and computationally efficient. It also provides discussions of the theoretical, methodological, and philosophical issues that arise from the models. A case study illustrates the use of these models in urban and regional planning. Finally, the book presents a new, dynamic theory of urban spatial structure that emerges from the models and their applications. The models are primarily land use models, but the more advanced ones also show the dynamics of population and economic activities, and are integrated with models in other domains such as economics, demography, and transportation. The result is a rich and realistic representation of the spatial dynamics of a variety of urban phenomena. The book is unique in its coverage of both the general issues associated with complex self-organizing systems and the specifics of designing and implementing models of such systems.
Download or read book Urban Growth Simulation Through Agent integrated Irregular Automata AIIA written by Khila R. Dahal and published by . This book was released on 2014 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research goal of this dissertation was to build a model for simulating urban growth and producing different future scenarios. This study proposed the Agent-Integrated Irregular Automata (AIIA) model - a hybrid between the cellular automata and agent-based modeling. The model uses irregular geometries (i.e. vector data format) as the unit of operation. This dissertation is comprised of three interrelated research projects that are summarized into distinct chapters. The first project focuses on the development and implementation of the AIIA model. The model was deployed to model the urban growth of San Marcos, Texas. By validating against empirical data, the results demonstrated that the AIIA model produces accurate future growth scenarios. The model contributes to the advancement of existing methodologies on urban modeling and its simulations provide useful insights for urban planning and policy making. The second project delves into the neighborhood subdivision component of the AIIA model. It is important to focus on automation of subdivision of developable lands into residential parcels because meaningful execution of behavioral rules in the AIIA demands interaction at the household level. The Parcel-Divider, a GIS toolset was created to automate parcel subdivision and generation of urban layouts. By comparing with many real-world subdivisions, the resulting toolset generates uniform and regularly-shaped lots while maintaining egress and continuity of road networks to the newly developed areas. The third study examines the impact of neighborhood configuration to the proposed AIIA model. It concludes that the AIIA simulations are highly sensitive to the type and size of the neighborhood and recommends that sensitivity analysis should be an integral part of calibration to urban growth simulation. This dissertation research contributes to the advancement of urban growth modeling.
Download or read book Multi scale Integrated Cellular Modelling for the Study of Urban Change Phenomena written by Nuno Norte Pinto and published by . This book was released on 2015 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of urban models based on mathematical and physics concepts has been one of the most intense scientific areas of research for the last two decades in urban studies. Cellular automata (CA), a mathematical approach to the evolution of systems ,is one of these concepts that have gained the attention of geographers and many other urban studies scholars since the 1970s.CAhave two main features that are quite interesting for urban modelling. First, CA formulation and early development are very close to the development of computation sciences themselves. Second, CA benefits from an inherent spatiality that suits the modelling of a wide range of spatial phenomena. They allow the simulation of complex patterns of, for example, land use, starting from a very simple and perceivable conceptual framework that includes five simple concepts: (1) the cell and the cell space (representing form);(2) a finite set of cell states (representing, for example, land uses); (3) a neighbourhood of cells (representing spatial interaction); (4) a finite set of transition rules (representing behaviours ,the urban function);and (5) the evolution of a system over time (representing the dynamic nature of complex system s). CA models are commonly used to simulate land use change at a regional or metropolitan level considering land use dynamics at a local level. They consider increasingly smaller cells, making use of the high resolution of today's remote sense images to capture many interactions that occur at a very large scale. Regular cells are used at the local scale (traditionally image pixels} and at a regional scale, as aggregations of smaller cells. Neighbourhoods are user defined in the majority of the cases , fixing beforehand one of the most important abilities of CA models in capturing spatial interaction and its extent Transition rules are usually applied to the entire region, making no real difference in the types of interactions that occur at different scales. CA models usually consider external drivers such as accessibility or land suitability as external attributes of cell, disregarding interdependencies between those drivers. This dissertation presents the research on these previous features by developing a multiscale CA model to simulate land use change both at the regional and at the local scales, taking accessibility not as an exogenous cell attribute but as a part of the modelling package, improving the models' capacity to capture the interdependence s between all drivers. The research addressed the issues of scale, cell form, neighbourhood definition, and calibration. A multiscale CA modelling framework aims to simulate land use dynamics at two different spatial and time scales: a macroscale CA that tries to model the aggregated land use change at a regional level; and a microscale CA that tries to model land use allocation at local scale. Irregular cells are used at both scales. Neighbourhood extension is defined at both scales as a model parameter, thus defined by the calibration procedure. The macroscale model generates aggregate values of land use demand as an input for the microscale model, which tries to allocate land use to best fit simulation to reality. Model calibration is made using an optimization procedure based on the particle swarm optimization heuristic. The dissertation presents and discusses the main features of the models and of the calibration process. A set of modular modelling tools were developed to simulate complex urban phenomena that constitute the foundation of urban growth/urban change. The models have been applied to case studies in Portugal and Spain, with different scales and spatial structures, to illustrate the main findings.
Download or read book Geospatial Analysis to Support Urban Planning in Beijing written by Ying Long and published by Springer. This book was released on 2015-10-14 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a comprehensive framework of novel simulation approaches, conventional urban models, and related data mining techniques that will help develop planning support systems in Beijing as well as other mega-metropolitan areas. It investigates the relationships between human behaviors and spatial patterns in order to simulate activities in an urban space, visualize planning alternatives, and support decision making. The book first explains urban space using geometric patterns, such as points, networks, and polygons, that help identify patterns of household and individual human behavior. Next, it details how novel simulation methodologies, such as cellular automaton and multi-agent systems, and conventional urban modeling, such as spatial interaction models, can be used to identify an optimal or a simulated solution for a better urban form. The book develops a comprehensive land use and transportation integrated model used to explore the spatial patterns of mutual interaction between human mobility and urban space. This model can help forecast the distribution of different types of households, rent prices, and land prices, as well as the distribution of routes and traffic volume based on an appraisal of labor demand and supply. This book shows how geospatial analysis can be a useful tool for planners and decision makers to help in ascertaining patterns of activities and support urban planning. Offering both novel and conventional approaches to urban modeling, it will appeal to researchers, students, and policy makers looking for the optimal way to plan the d evelopment of a mega-metropolitan area.
Download or read book Guide to Geography Programs in the Americas written by and published by . This book was released on 2007 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modelling Urban Growth Using Cellular Automata and Geographical Information Systems written by Khalid Al-Ahmadi and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Understanding Complex Urban Systems written by Christian Walloth and published by Springer. This book was released on 2016-03-11 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the modeling and understanding of complex urban systems. This second volume of Understanding Complex Urban Systems focuses on the challenges of the modeling tools, concerning, e.g., the quality and quantity of data and the selection of an appropriate modeling approach. It is meant to support urban decision-makers—including municipal politicians, spatial planners, and citizen groups—in choosing an appropriate modeling approach for their particular modeling requirements. The contributors to this volume are from different disciplines, but all share the same goal: optimizing the representation of complex urban systems. They present and discuss a variety of approaches for dealing with data-availability problems and finding appropriate modeling approaches—and not only in terms of computer modeling. The selection of articles featured in this volume reflect a broad variety of new and established modeling approaches such as: - An argument for using Big Data methods in conjunction with Agent-based Modeling; - The introduction of a participatory approach involving citizens, in order to utilize an Agent-based Modeling approach to simulate urban-growth scenarios; - A presentation of semantic modeling to enable a flexible application of modeling methods and a flexible exchange of data; - An article about a nested-systems approach to analyzing a city’s interdependent subsystems (according to these subsystems’ different velocities of change); - An article about methods that use Luhmann’s system theory to characterize cities as systems that are composed of flows; - An article that demonstrates how the Sen-Nussbaum Capabilities Approach can be used in urban systems to measure household well-being shifts that occur in response to the resettlement of urban households; - A final article that illustrates how Adaptive Cycles of Complex Adaptive Systems, as well as innovation, can be applied to gain a better understanding of cities and to promote more resilient and more sustainable urban futures.
Download or read book Integration of Cellular Automata and Geographic Information Systems for Modeling Spatial Dynamics written by Soohong Park and published by . This book was released on 1996 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling Cities and Regions as Complex Systems written by Roger White and published by MIT Press. This book was released on 2015-09-18 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory and practice of modeling cities and regions as complex, self-organizing systems, presenting widely used cellular automata-based models, theoretical discussions, and applications. Cities and regions grow (or occasionally decline), and continuously transform themselves as they do so. This book describes the theory and practice of modeling the spatial dynamics of urban growth and transformation. As cities are complex, adaptive, self-organizing systems, the most appropriate modeling framework is one based on the theory of self-organizing systems—an approach already used in such fields as physics and ecology. The book presents a series of models, most of them developed using cellular automata (CA), which are inherently spatial and computationally efficient. It also provides discussions of the theoretical, methodological, and philosophical issues that arise from the models. A case study illustrates the use of these models in urban and regional planning. Finally, the book presents a new, dynamic theory of urban spatial structure that emerges from the models and their applications. The models are primarily land use models, but the more advanced ones also show the dynamics of population and economic activities, and are integrated with models in other domains such as economics, demography, and transportation. The result is a rich and realistic representation of the spatial dynamics of a variety of urban phenomena. The book is unique in its coverage of both the general issues associated with complex self-organizing systems and the specifics of designing and implementing models of such systems.
Download or read book Spatial Temporal Analysis and Modeling of Urban Growth written by Charles Mundia and published by LAP Lambert Academic Publishing. This book was released on 2010-12 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geo spatial data and information are increasingly being used by different professionals to analyze and model different phenomena. This book looks at spatial analysis and modeling of urban growth using Cellular Automata, Remote Sensing, and Geographical Information System, with a particular emphasis on cities experiencing rapid spatial expansions. The book takes a critical look at the dynamics of spatial-temporal patterns of land use/land cover, and discusses urban growth issues and the need for urban management tools that can provide different perspective scenarios. Urban growth geosimulation that integrates social-economic and biophysical factors with dynamic spatial modeling is described. This is necessary for monitoring urban development processes, planning for urban service provision and managing urban planning information. This book illustrates through case studies, how spatial analysis and modeling built around GIS, can be used to identify ways in which cities may be better planned and managed.The book will be valuable reading for researchers, regional analysts, planners, policy makers, business analysts and geodemographers among many other professionals.
