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First published in 1967, this book explores the theme of geographical generalization, or model building. It is composed of five of the chapters from the original Models in Geography, published in 1967. The first chapter broadly outlines this theme and examines the nature and function of generalized statements, ranging from conceptual models to scale models, in a geographical context. The following chapters deal with mixed-system model building in geography, wherein data, techniques and concepts in both physical and human geography are integrated. The book contains chapters on organisms and ecosystems as geographical models as well as spatial patterns in human geography. This text represents a robustly anti-idiographic statement of modern work in one of the major branches of geography.
Two decades after the publication of the seminal Models in Geography, edited by Richard Chorley & Peter Haggett, this major collection of specially commissioned essays charts the new human geography from the perspective of political economy. Providing surveys of recent trends in theory, bibliographic guides to the literature, and pointers to advances and frontiers in thinking, the book ranges from cultural to economic and urban geography. The authors explore the connections between political economy and geographical thought in each area, with the emphasis lying on the processes of material production and social reproduction.
"""Models in Geography"" aim at presenting the important models and theories in human geography at one place in a concise and cogent manner. These include System Analysis, Malthusian, Marxian and Demographic Transitional Models, Central Place Theory of Christaller and Losch, von Thunen Model of Agricultural Land Use, Weber's Theory of Industrial Location, Rostow's Stages of Growth, Heartland and Rimland Theories, and Laws of International Boundaries and Frontiers. Besides, the Limits to Growth and Laws of Migration have also been examined. A full chapter has been devoted to types and patterns of rural settlements, primate city, rank-size rule and models of urban land. Documented with the latest data, maps and diagrams, one chapter has been written on climatic change.It is hoped that the book will be of immense help to the students and teachers alike. This will also be useful for those preparing for various competitive examinations."
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.
This title focuses on the evolution of the modeling process and on new research perspectives in theoretical and applied geography, as well as spatial planning. In the last 50 years, the achievements of spatial analysis models opened the way to a new understanding of the relationship between society and geographical space. In this book, these models are confronted by the real conditions of territorial prospect, regional dynamism, cultural policy, HMO, and spatial segregation. This confrontation takes into account the instability of social behavior and the permanence of partial determinist trajectories.
The purpose of quantitative geography is to train geographers in numeracy and in the vital skills of data collection, processing and interpretation. Introducting Quantitative Geography describes quantification from first principles to cover all the key elements of quantitative geography. No previous knowledge of statistical procedures is assumed. Worked examples and computer analyses are used to explain measurement, scale, description, models and modelling. Building on this, the book explores and clarifies the intellectual and practical problems presented by numerical and technological advances in the field.
Today, we believe that the map is a copy of the Earth, without realizing that the opposite is true: in our culture the Earth has assumed the form of a map. In Blinding Polyphemus, Franco Farinelli elucidates the philosophical correlation between cultural evolution and shifting cartographies of modern society, giving readers an interdisciplinary study that attempts to understand and redefine the fundamental structures of cartography, architecture, and the notion of "space." Following the lessons of nineteenth-century critical German geography, this is a manual of geography without any map. To indicate where things are means already responding, in implicit and unreflective ways, to prior questions about their nature. Blinding Polyphemus not only takes account of the present state of the Earth and of human geography, it redefines the principal models we possess for the description of the world: the map, above all, as well as the landscape, subject, place, city, and space.
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.