Architectural Modelling in 4mm Scale

Beautifully done book by a master modeller demonstrating the techniques for building lovely, realistic structures, whether for a model railroad or for some other kind of layout. Every aspect — identifying a prototype, reducing ti to 4mm scale, choosing and working with different materials, detail work, etc. — is all covered in an understandable and clear fashion. Illustrated throughout with black and white photos, line drawings and diagrams. 71 pages.

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Radio Control Foam Modelling

This manual quickly takes the newcomer to radio control foam building techniques up to expert level. This completely revised edition describes the choice of foam, materials for strengthening and covering, tools and glues to create not only wings but also fuselages, cowlings, moulding and much more.

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Practical Architectural Modelling With AECOsim Building Designer

Practical Architectural Modelling With AECOsim Building Designer is a step-by-step introduction to the basic tools and functionality of Bentley s AECOsim Building Designer. It provides a fundamental overview of the building analysis and design software, as well as a detailed review of specific tools for advanced users. This book is designed for both new and experienced architects and engineers. It covers a building design project from start to finish, beginning with a structural grid file and 2D plans and sections to creating buildings to finalizing drawings, schedules, and other outputs directly from the BIM model. Each chapter gives the reader a basic knowledge of individual aspects of AECOsim Building Designer and acts as a stand-alone reference guide for experienced users looking for a refresher. It includes in-depth exercises about building design, simulation, analysis, and documentation using Bentley s building information modeling (BIM) application.

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BIM Design: Realising the Creative Potential of Building Information Modelling (AD Smart)

Throughout the projects are used to effectively illustrate the creative application of BIM at a variety of scales. These buildings showcase work by firms executing projects all over the world including: SHoP Architects and Construction (New York), Morphosis (Los Angeles), Populous (London), GRO Architects (New York), Resier + Umemoto (New York), Gensler (Shanghai) and UN Studio (Amsterdam).

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Geospatial Analysis and Modelling of Urban Structure and Dynamics (GeoJournal Library)

A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.

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Urban Modelling: Algorithms, Calibrations, Predictions (Cambridge Urban and Architectural Studies)

Originally published in 1976, this book introduced a series of mathematical models of urban phenomena relevant to scientists and planners attempting to understand and predict the form of cities and regions. Dr Batty organises the book around the main theme of designing and using such models in practical situations and develops a family of static and dynamic models dealing with the location of land use and economic activities. He describes the models both as urban theories and as computer algorithms, and thoroughly explores the process of calibrating or ‘tuning’ the models to reflect reality. Problems concerning the definition of the spatial systems to which these models refer are examined, as are other practical difficulties such as data organisation. The quasi-experimental approach which characterises this style of computer model-building extends to using the models in conditional prediction and Dr Batty discusses their role in the planning process, with their use in testing the impact of public policies on existing conditions.

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Introduction to Environmental Management (Developments in Environmental Modelling)

This book provides a comprehensive survey of the various sub-disciplines which form the basis of environmental management. The book was written by experts in the three following categories: Natural Sciences topics such as soil, air and water pollution, water management, aspects of pesticides and gene technology; Social Sciences consisting of topics in countryside planning, environmental economics and law; and finally, subjects in Environmental Science and Ecology such as EIA and environmental management modelling are assessed. This volume is intended as an introductory overview of these topics and presents the tools required to practice environmental management. The book is expected to serve as a textbook and a reference book in teaching environmental management at a college or university level.

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Modelling High-level Cognitive Processes

This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements, and it is for this reason that they are considered together in this text.

The book is divided into three parts. Part I considers foundational and background issues. Part II provides a series of case studies spanning a range of cognitive domains. Part III reflects upon issues raised by the case studies. Teachers of cognitive modeling may use material from Part I to structure lectures and practical sessions, with chapters in Part II forming the basis of in-depth student projects.

All models discussed in this book are developed within the COGENT environments. COGENT provides a graphical interface in which models may be sketched as “box and arrow” diagrams and is both a useful teaching tool and a productive research tool. As such, this book is designed to be of use to both students of cognitive modeling and active researchers. For students, the book provides essential background material plus an extensive set of example models, exercises and project material. Researchers of both symbolic and connectionist persuasions will find the book of interest for its approach to cognitive modeling, which emphasizes methodological issues. They will also find that the COGENT environment itself has much to offer.

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Smart Cities: Governing, Modelling and Analysing the Transition

Smart city development has emerged a major issue over the past 5 years. Since the launch of IBM’s Smart Planet and CISCO’s Smart Cities and Communities programmes, their potential to deliver on global sustainable development targets have captured the public’s attention. However, despite this growing interest in the development of smart cities, little has as yet been published that either sets out the state-of-the-art, or which offers a less than subjective, arm’s length and dispassionate account of their potential contribution.

This book brings together cutting edge research and the findings from technical development projects from leading authorities within the field to capture the transition to smart cities. It explores what is understood about smart cities, playing particular attention on the governance, modelling and analysis of the transition that smart cities seek to represent. In paving the way for such a representation, the book begins to account for the social capital of smart communities and begins the task of modelling their embedded intelligence through an analysis of what the “embedded intelligence of smart cities” contributes to the sustainability of urban development.

This innovative book offers an interdisciplinary perspective and shall be of interest to researchers, policy analysts and technical experts involved in and responsible for the planning, development and design of smart cities. It will also be of particular value to final year undergraduate and postgraduate students interested in Geography, Architecture and Planning.

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