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A clear, comprehensive treatment of the subject, Environmental Statistics with S-PLUS surveys the vast array of statistical methods used to collect and analyze environmental data. The book explains what these methods are, how to use them, and where to find references to them. In addition, it provides insight into what to think about before you coll
This is the User's Manual to the software package EnvironmentalStats for S-PLUS, which is an add-on module for S-PLUS providing the first comprehensive software package for environmental scientists, engineers, and regulators. The new edition provides the documentation for Version 2.0 (which runs under S-PLUS 6.0), and includes extensive examples using real data sets.
Statistical analysis of geographic data has been greatly enhanced in recent years with the advent of Geographical Information Systems (GIS) software. Yet GIS users have struggles to synchronize their applications of spatial information with practical, quantitative statistics. ArcView, one of the most powerful GIS-compatible systems, has become the most popular software among geographers precisely because of its capacity for spatial-quantitative synthesis. Now geographers Jay Lee and David Wong have produced the first handbook for applied ArcView use, bringing the theoretical underpinnings of classical statistics into the earth science environment. Employing points, lines, and polygons to model real-world geographic forms, this easy-to-use resource provides geographers with a valuable bridge between theory and the software necessary to apply it. It contains sections on point distribution, point pattern analysis, linear features, network analysis, and spatial autocorrelation analysis. Statistical Analysis with ArcView GIS also features: Examples that show steps of statistical calculations-as well as ways to interpret the results. More than 100 illustrations, including statistical charts, maps, and ArcView screen captures. Helpful end-of-chapter references. Suitable for professionals as well as students of geography, this book is an important tool for anyone involved in the statistical analysis of GIS data.
This study guide meets a growing demand for effective GIS training by combining ArcGIS tutorials and self-study exercises that start with the basics and progress to more difficult functionality. Presented in a step-by-step format, the book can be adapted to a reader's specific training needs, from a classroom of graduate students to individaul study. Readers learn to use a range of GIS functionality from creating maps and collecting data to using geoprocessing tools and models for advanced analysis. the authors have incorporated three proven learning methods: scripted exercises that use detailed step-by-step insturctions and result graphics, Your Turn exercises that require users to perform tasks without steo-by-step instructions, and exercise assignements that pose real-world problem scenarios. A fully functioning, 180-day trial version of ArcView 9.2 software, data for working through the tutorials, and Web-based teacher resources are also included.
This text explores the critical issues in the statistical analysis and interpretation of public health surveillance data. It covers statistical methods for detecting disease outbreaks and clusters, the use of survey methods and interpreting time trends and geographic patterns, among other topics.
"This book presents a sampling of the many applications utilizing GIS in the field of health, including needs of less-developed countries in utilizing the concepts and technologies of mapping"--Provided by publisher.
Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the new quantitative methodologies and contrasts them with the methods associated with geography′s `Quantitative Revolution′ of the 1960s. Key issues discussed include: the nature of modern quantitative geography; spatial data; geographical information systems; visualization; local analysis; point pattern analysis; spatial regression; and statistical inference. Concluding with a review of models used in spatial theory, the authors discuss the current challenges to spatial data analysis. Written to be accessible, to communicate the diversity and excitement of recent thinking, Quantitative Geography will be required reading for students and researchers in any discipline where quantitative methods are used to analyse spatial data. `This is a veritable tour de force of everything that is exciting about quantitative geography and GIS. It is a timely, thorough and exciting account of the state of the art and science of spatial analysis′ - Paul Longley, University of Bristol `A highly innovative and up-to-date text. It is unique in its coverage of the many developments that have taken place in the field over the past few years. The book is one that is highly readable and stimulating for those with some background in the field, and its expositional style and many examples will make it stimulating to newcomers as well′ - Peter Rogerson, State University of New York at Buffalo `Brings the field thoroughly up to date, integrating modern methods of GIS with a comprehensive and easy-to-read overview of the most recent and powerful techniques of spatial analysis. The book will be valuable to students and researchers in any discipline that seeks to explore or explain phenomena in geographical context, and will make excellent reading for geographers, political scientists, criminologists, anthropologists, geologists, epidemiologists, ecologists, and many others. It offers a spirited challenge to critics of a scientific approach to social science, and demonstrates the value of its subject matter through abundant examples′ - Michael Goodchild, National Center for Geographic Information and Analysis, University of California, Santa Barbara `There is a view within some parts of academic geography that what used to be called "quantitative geography" is dead, having been subsumed within "geographical information systems" or else of no continuing interest. This book should correct this view. First, it shows that quantitative methods have remained an exciting area of development and, second, it shows that, if anything, they have more relevance to substantive problems of interest than they have ever had. Although not specifically about GIS, it is a book that should be read by everyone concerned with the analysis of geographical information′ - David Unwin, Birkbeck College, University of London
Fighting in the Streets provides a comparative analysis of some of the most severe episodes of urban unrest that took place in twentieth-century America, including the 1919 Chicago Riot, the 1943 Detroit Riot, the 1967 Newark and Detroit Riots, the 1980 Miami Riot, and the 1992 Los Angeles Riot. Examining the patterns of death and destruction of property that occurred during these events, as well as historical evidence regarding struggles for housing, jobs, and political power among members of different racial/ethnic groups, this book makes the case for a general explanatory model of urban unrest as a product of rapid demographic change. Focusing at the neighborhood level, where demographic changes have their greatest impact, Fighting in the Streets posits that riot-related violence is most likely to take place in neighborhoods characterized by high levels of black/white segregation, poverty, unemployment, and rapid population turnover. Such a "profile" of the riot-prone neighborhood may enable policy makers to avert future violence through targeted economic and political intervention, such as building community institutions that integrate newcomers and natives. This book is particularly suited for classes in urban studies, race/ethnic relations, and collective behavior/social movements as well as public policy and planning.