Author: Roger M. MinshullPublisher: Longman Publishing Group
ISBN:
Category : Science
Languages : en
Pages : 176
Book Description
An Introduction to Models in Geography
Author: Roger M. MinshullPublisher: Longman Publishing Group
ISBN:
Category : Science
Languages : en
Pages : 176
Book Description
New Models in Geography
Author: Richard PeetPublisher: Routledge
ISBN: 1134998376
Category : Science
Languages : en
Pages : 448
Book Description
First Published in 1989. Routledge is an imprint of Taylor & Francis, an informa company.
Agent-Based Models of Geographical Systems
Author: Alison J. HeppenstallPublisher: Springer Science & Business Media
ISBN: 9789048189274
Category : Social Science
Languages : en
Pages : 760
Book Description
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.
Physical and Information Models in Geography (Routledge Revivals)
Author: Richard ChorleyPublisher: Routledge
ISBN: 1135121001
Category : Science
Languages : en
Pages : 312
Book Description
First published in 1967, this book explores the theme of geographical generalization, or model building. It is composed of eight of the chapters from the original Models in Geography, published in 1967. The first chapter broadly outlines geographical generalization and examines the nature and function of generalized statements, ranging from conceptual models to scale models, in a geographical context. The following chapter deals with model theory in a wider scientific framework and the rest of the book discusses models of physical systems and information models. The book considers model-type generalizations that are applied in the three fields of geomorphology, meteorology and climatology, and hydrology before focusing on the transference of information and ideas in geography. This text represents a robustly anti-idiographic statement of modern work in one of the major branches of geography.
An Introduction to Physical Geography and the Environment
Author: Joseph HoldenPublisher: Prentice Hall
ISBN: 9781408263297
Category : Physical geography
Languages : en
Pages : 762
Book Description
The second edition of this best-selling and highly respected textbook provides an accessible and engaging introduction to the major topics within physical geography. An Introduction to Physical Geography and the Environment is designed with a range of in-text features such as case studies and reflective questions to aid study. As well as this, students have access to a rich and extensive range of online support resources such as extra weblinks, fieldwork worksheets, interactive models and new video clips of physical processes in action, all of which will help them achieve success in their Physical Geography course.
Introducing Quantitative Geography
Author: Larry O'BrienPublisher: Routledge
ISBN: 1134987803
Category : Science
Languages : en
Pages : 380
Book Description
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.
Integrated models in geography
Author: Richard J. ChorleyPublisher:
ISBN:
Category : Geography
Languages : en
Pages : 0
Book Description
Models in Geography
Author: Majid HusainPublisher:
ISBN:
Category : Social Science
Languages : en
Pages : 372
Book Description
"""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."
Spatial Regression Models for the Social Sciences
Author: Guangqing ChiPublisher: SAGE Publications
ISBN: 1544302088
Category : Social Science
Languages : en
Pages : 273
Book Description
Space and geography are important aspects of social science research in fields such as criminology, sociology, political science, and public health. Many social scientists are interested in the spatial clustering of various behaviors and events. There has been a rapid development of interest in regression methods for analyzing spatial data over recent years, but little available on the topic that is aimed at graduate students and advanced undergraduate classes in the social sciences (most texts are for the natural sciences, or regional science, or economics, and require a good understanding of advanced statistics and probability theory). Spatial Regression Models for the Social Sciences fills the gap, and focuses on the methods that are commonly used by social scientists. Each spatial regression method is introduced in the same way. Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it, by connecting it to social science research topics. They try to avoid mathematical formulas and symbols as much as possible. Secondly, throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us. Spatial Regression Models for the Social Sciences provides comprehensive coverage of spatial regression methods for social scientists and introduces the methods in an easy-to-follow manner.
Author: D. C. Rich