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Author: Michael R. Greenberg Publisher: Elsevier ISBN: 1483273741 Category : Reference Languages : en Pages : 346
Book Description
Applied Linear Programming for the Socioeconomic and Environmental Sciences discusses applications of linear and related programming to help in the transformation of the student or reader from book learning to computer use. The author reviews the theory, methods and applications of linear programming. The author also presents some programming codes that can be used in solving linear programming problems. He describes processes such as parametric programming, sensitivity analysis, and postoptimal analysis. The author lists five possible applications of linear programming, as follows: 1) estimates involving supply of and demand for services; 2) transport and schedule planning; 3) scale, technologies, and optimal site selection; (4) evaluation of impact of activates; and 5) evaluation of alternative options. The author cites a case study of solid-waste management in New Jersey that is common to other areas: availability of disposal sites, increasing amounts of garbage, and stricter environmental regulations. This book can be appreciated by environmentalist, sociologists, economists, civil engineers, and students and professors of advance mathematics and linear programming.
Author: Michael R. Greenberg Publisher: Elsevier ISBN: 1483273741 Category : Reference Languages : en Pages : 346
Book Description
Applied Linear Programming for the Socioeconomic and Environmental Sciences discusses applications of linear and related programming to help in the transformation of the student or reader from book learning to computer use. The author reviews the theory, methods and applications of linear programming. The author also presents some programming codes that can be used in solving linear programming problems. He describes processes such as parametric programming, sensitivity analysis, and postoptimal analysis. The author lists five possible applications of linear programming, as follows: 1) estimates involving supply of and demand for services; 2) transport and schedule planning; 3) scale, technologies, and optimal site selection; (4) evaluation of impact of activates; and 5) evaluation of alternative options. The author cites a case study of solid-waste management in New Jersey that is common to other areas: availability of disposal sites, increasing amounts of garbage, and stricter environmental regulations. This book can be appreciated by environmentalist, sociologists, economists, civil engineers, and students and professors of advance mathematics and linear programming.
Author: Saul I. Gass Publisher: Courier Corporation ISBN: 048643284X Category : Mathematics Languages : en Pages : 545
Book Description
Comprehensive, well-organized volume, suitable for undergraduates, covers theoretical, computational, and applied areas in linear programming. Expanded, updated edition; useful both as a text and as a reference book. 1995 edition.
Author: Biao Liu Publisher: CRC Press ISBN: 135196674X Category : Science Languages : en Pages : 207
Book Description
This book proposes a method to solve land use problems, and has made some significant contributions to the land use analysis and optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted logit model (GTWLM), spatio-temporal panel logit model (ST-PLM) and generalized spatio-temporal logit model (GSTLM), are proposed. GTWLM, which considers spatio-temporal non-stationarity, includes temporal data in a spatio-temporal framework by proposing a spatiotemporal distance. ST-PLM incorporates the spatio-temporal correlation and individual effect in one model. By integrating GTWLM and ST-PLM, the GSTLM explores spatio-temporal non-stationarity and correlations simultaneously, whilst considering their individual effects to construct an integrated model. Secondly, a MOO-based two-level spatial planning of land use is proposed. The spatial planning aims at managing and coordinating the land use at different geographic extents and involves spatial layouts and structures of land use at different levels. In spatial planning, GIS and Remote Sensing are used to evaluate, analyze, and measure environmental, economic and social issues. The quantitative relationships between these objectives and spatial land use allocation are then used as rules in the MOO process to simulate environmental conditions under different spatial land use allocation scenarios. The book features a case study of Shenzhen city, the most important Special Economic Zone in China. This book will be of interest to academics and professionals in the fields of urban planning, land resource management, remote sensing and geographic information systems.
Author: Jeffrey J. Hunter Publisher: Academic Press ISBN: 1483263886 Category : Mathematics Languages : en Pages : 254
Book Description
Mathematical Techniques of Applied Probability, Volume 1: Discrete Time Models: Basic Theory provides information pertinent to the basic theory of discrete time models. This book introduces the tools of generating functions and matrix theory to facilitate a detailed study of such models. Organized into five chapters, this volume begins with an overview of the elementary theory of probability for discrete random variables. This text then reviews the concepts of convergence, absolute convergence, uniform convergence, continuity, differentiation, and integration. Other chapters consider the occurrence of general patterns of successes and failures in Bernoulli trials. This book discusses as well the matrix theory, which is used in the study of stochastic processes, particularly in the analysis of the behavior of Markov chains. The final chapter deals with the properties of a special class of discrete time chains. This book is a valuable resource for students and teachers.
Author: Michael R Greenberg Publisher: Routledge ISBN: 1317298411 Category : Business & Economics Languages : en Pages : 358
Book Description
Risk analysis is not a narrowly defined set of applications. Rather, it is widely used to assess and manage a plethora of hazards that threaten dire implications. However, too few people actually understand what risk analysis can help us accomplish and, even among experts, knowledge is often limited to one or two applications. Explaining Risk Analysis frames risk analysis as a holistic planning process aimed at making better risk-informed decisions and emphasizing the connections between the parts. This framework requires an understanding of basic terms, including explanations of why there is no universal agreement about what risk means, much less risk assessment, risk management and risk analysis. Drawing on a wide range of case studies, the book illustrates the ways in which risk analysis can help lead to better decisions in a variety of scenarios, including the destruction of chemical weapons, management of nuclear waste and the response to passenger rail threats. The book demonstrates how the risk analysis process and the data, models and processes used in risk analysis will clarify, rather than obfuscate, decision-makers’ options. This book will be of great interest to students and scholars of risk assessment, risk management, public health, environmental science, environmental economics and environmental psychology.
Author: David Foot Publisher: Routledge ISBN: 1351600710 Category : Social Science Languages : en Pages : 201
Book Description
First published in 1981. Urban modelling techniques are an established tool in assessing the possible repercussions of major changes in land use. This book is an introductory guide to the various models that have been developed and to how they can be applied in planning practice, particularly with relation to land use activities such as residential, industrial and retail development, and changes in the transport network. The author has provided a coherent and reliable introductory text which will be welcomed by students and teachers in search of a guide to current methods in the field of urban modelling.
Author: Michael R Greenberg Publisher: Rutgers University Press ISBN: 0813544734 Category : Political Science Languages : en Pages : 319
Book Description
Pressing environmental challenges are frequently surrounded with stakeholders on all sides of the issues. Opinions expressed by government agencies, the private sector, special interests, nonprofit communities, and the media, among others can quickly cloud the dialogue, leaving one to wonder how policy decisions actually come about. In Environmental Policy Analysis and Practice, Michael R. Greenberg cuts through the complicated layers of bureaucracy, science, and the public interest to show how all policy considerations can be broken down according to six specific factors: 1) the reaction of elected government officials, 2) the reactions of the public and special interests, 3) knowledge developed by scientists and engineers, 4) economics, 5) ethical imperatives, and 6) time pressure to make a decision. The book is organized into two parts, with the first part defining and illustrating each one of these criteria. Greenberg draws on examples such as nuclear power, pesticides, brownfield redevelopment, gasoline additives, and environmental cancer, but focuses on how these subjects can be analyzed rather than exclusively on the issues themselves. Part two goes on to describe a set of over twenty tools that are used widely in policy analysis, including risk assessment, environmental impact analysis, public opinion surveys, cost-benefit analysis, and others. These tools are described and then illustrated with examples from part one. Weaving together an impressive combination of practical advice and engaging first person accounts from government officials, administrators, and leaders in the fields of public health and medicine, this clearly written volume is poised to become a leading text in environmental policy.
Author: Robert H. Bonczek Publisher: Academic Press ISBN: 1483268721 Category : Business & Economics Languages : en Pages : 412
Book Description
Foundations of Decision Support Systems focuses on the frameworks, strategies, and techniques involved in decision support systems (DSS). The publication first takes a look at information processing, decision making, and decision support; frameworks for organizational information processing and decision making; and representative decision support systems. Discussions focus on classification scheme for DSS, abilities required for decision making, division of information-processing labor within an organization, and decision support. The text then elaborates on ideas in decision support, formalizations of purposive systems, and conceptual and operational constructs for building a data base knowledge system. The book takes a look at building a data base knowledge system, language systems for data base knowledge systems, and problem-processing systems for data base knowledge systems. Topics include problem processors for computationally oriented DSS, major varieties of logical data structures, and indirect associations among concepts. The manuscript also examines operationalizing modeling knowledge in terms of predicate calculus; combining the data base and formal logic approaches; and the language and knowledge systems of a DSS based on formal logic. The publication is a valuable reference for researchers interested in decision support systems.
Author: Michael R. Greenberg
Author: Michael R. Greenberg
Author: Saul I. Gass
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Author: Biao Liu
Author: Jeffrey J. Hunter
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Author: Michael R Greenberg
Author: David Foot
Author: Michael R Greenberg
Author: Robert H. Bonczek