Remote Sensing deals with the fundamental ideas underlying the rapidly growing field of remote sensing. John Schott explores energy-matter interaction, radiation propagation, data dissemination, and described the tools and procedures required to extract information from remotely sensed data using the image chain approach. Organizations and individuals often focus on one aspect of the remote sensing process before considering it as a whole, thus investigating unjustified effort, time, and expense to get minimal improvement. Unlike other books on the subject, Remote Sensing treats the process as a continuous flow. Schott examines the limitations obstructing the flow of information to the user, employing numerous applications of remote sensing to earth observation disciplines. For this second edition, in addition to a thorough update, there are major changes and additions, such as a much more complete treatment of spectroscopic imaging, which has matured dramatically in the last ten years, and a more rigorous treatment of image processing with an emphasis on spectral image processing algorithms. Remote Sensing is an ideal first text in remote sensing for advanced undergraduate and graduate students in the physical or engineering sciences, and will also serve as a valuable reference for practitioners.
Research in social and behavioral sciences has benefited from linear regression models (LRMs) for decades to identify and understand the associations among a set of explanatory variables and an outcome variable. Linear Regression Models: Applications in R provides you with a comprehensive treatment of these models and indispensable guidance about how to estimate them using the R software environment. After furnishing some background material, the author explains how to estimate simple and multiple LRMs in R, including how to interpret their coefficients and understand their assumptions. Several chapters thoroughly describe these assumptions and explain how to determine whether they are satisfied and how to modify the regression model if they are not. The book also includes chapters on specifying the correct model, adjusting for measurement error, understanding the effects of influential observations, and using the model with multilevel data. The concluding chapter presents an alternative model—logistic regression—designed for binary or two-category outcome variables. The book includes appendices that discuss data management and missing data and provides simulations in R to test model assumptions. Features Furnishes a thorough introduction and detailed information about the linear regression model, including how to understand and interpret its results, test assumptions, and adapt the model when assumptions are not satisfied. Uses numerous graphs in R to illustrate the model’s results, assumptions, and other features. Does not assume a background in calculus or linear algebra, rather, an introductory statistics course and familiarity with elementary algebra are sufficient. Provides many examples using real-world datasets relevant to various academic disciplines. Fully integrates the R software environment in its numerous examples. The book is aimed primarily at advanced undergraduate and graduate students in social, behavioral, health sciences, and related disciplines, taking a first course in linear regression. It could also be used for self-study and would make an excellent reference for any researcher in these fields. The R code and detailed examples provided throughout the book equip the reader with an excellent set of tools for conducting research on numerous social and behavioral phenomena. John P. Hoffmann is a professor of sociology at Brigham Young University where he teaches research methods and applied statistics courses and conducts research on substance use and criminal behavior.
Plasma cell dyscrasias are common causes of peripheral neuropathy. Peri pheral neuropathy may be the first manifestation of multiple myeloma, amyloidosis, or monoclonal gammopathy of undetermined significance (MGUS). Peripheral neuropathy occurs in more than one-half of patients with osteosclerotic myeloma. The hematologic disorders are such an important association with peripheral polyneuropathy that, for the last decade, we have obtained a metastatic bone survey and immunoelectrophoresis of serum and a 24-hour urine specimen on all patients older than 40 years with undiagnosed peripheral neuropathy. This textbook on polyneuropathies and plasma cell dyscrasia is welcome, because the subject is of considerable medical importance and because the authors are expert in these disorders. Kelly's studies have shown that a systematic search for monoclonal proteins in plasma and urine among patients with neuropathy of unknown cause increases diagnostic yield. Latov's studies have focused on the role of myelin associated glycoproteins (MAG) in the induction of neuropathy. Kyle, director of the Special Protein Laboratory at Mayo Clinic, brings a broad clinical and laboratory perspective and experi ence. The timing of the textbook is just right, because there is much new information which needs to be summarized.
What are the choices the Asia-Pacific community will face if it proceeds further down the path of developing preferential regional trading arrangements? Fragmentation of the region into preferential trading arrangements on a bilateral or subregional basis promises relatively little economic gain and considerable risk of increased trade conflict. Larger preferential trading blocs, spanning the whole of East Asia, the Western Pacific, or the APEC membership, offer greater potential economic benefits but also face formidable political obstacles. In this study, Scollay and Gilbert weigh the economic consequences of the increased use of preferential trading arrangements in the Asia-Pacific region, whether these develop on the basis of trans-Pacific cooperation or solely within the East Asian or Western Pacific sub-regions. They evaluate the economic effects of both the existing proposals for new bilateral and multilateral agreements and of more far-reaching developments involving the creation of a substantial trading bloc or blocs in the region. Comparisons between the economic effects of establishing such bloc(s) in the region and the effects of achieving APEC's Bogor goals on the basis of "open regionalism" suggest that the latter approach continues to offer a worthwhile alternative. The study demonstrates that the benefits of global free trade dominate those available from establishment of any combination of major blocs or from APEC's "open regionalism".
This study brings readers up to date on the complicated subject of debt relief for poor countries. It also addresses the questions of more efficient and equitable government spending, building better institutions and attracting productive private investment.
In the aftermath of the Asian/global financial crises of 1997-98, how should emerging markets now structure their exchange rate systems to prevent new crises from occurring? This study challenges current orthodoxy by advocating the revival of intermediate exchange rate regimes. In so doing, Williamson presents a reasoned challenge to the new prevailing attitude which claims that all countries involved in the international capital markets need to polarize to one of the extreme regimes (to a fixed rate with either a currency board or dollarization, or to a lightly-managed float). He concludes that although there is some truth in the allegation that intermediate regimes are vulnerable to speculative crises, they still offer offsetting advantages. He also contends that it would be possible to redesign them to be more flexible so as to reduce their vulnerability to crises.
This volume contains the papers, updated in some cases, presented at the first AISMC (Artificial Intelligence and Symbolic Mathematical Computations)conference, held in Karlsruhe, August 3-6, 1992. This was the first conference to be devoted to such a topic after a long period when SMC made no appearance in AI conferences, though it used to be welcome in the early days of AI. Some conferences were held recently on mathematics and AI, but none was directly comparable in scope to this conference. Because of the novelty of the domain, authors were given longer allocations of time than usual in which to present their work. As a result, extended and fruitful discussions followed each paper. The introductory chapter in this book, which was not presented during the conference, reflects in many ways the flavor of these discussions and aims to set out the framework for future activities in this domain of research. In addition to the introduction, the volume contains 20 papers.
Remote Sensing deals with the fundamental ideas underlying the rapidly growing field of remote sensing. John Schott explores energy-matter interaction, radiation propagation, data dissemination, and described the tools and procedures required to extract information from remotely sensed data using the image chain approach. Organizations and individuals often focus on one aspect of the remote sensing process before considering it as a whole, thus investigating unjustified effort, time, and expense to get minimal improvement. Unlike other books on the subject, Remote Sensing treats the process as a continuous flow. Schott examines the limitations obstructing the flow of information to the user, employing numerous applications of remote sensing to earth observation disciplines. For this second edition, in addition to a thorough update, there are major changes and additions, such as a much more complete treatment of spectroscopic imaging, which has matured dramatically in the last ten years, and a more rigorous treatment of image processing with an emphasis on spectral image processing algorithms. Remote Sensing is an ideal first text in remote sensing for advanced undergraduate and graduate students in the physical or engineering sciences, and will also serve as a valuable reference for practitioners.
Remote Sensing is a unique advanced text which covers the fundamental science underlying the rapidly growing field of remote sensing. Unlike similar books, which focus on one aspect of remote sensing, it treats the subject as a continuous process, including energy-matter interaction, radiation propagation, and data dissemination, and emphasizes the tools and procedures required to extract information from remotely sensed data using the image chain approach. Using the image chain analogy, the component processes are linked together using a common quantitative terminology that can be used to study physical parameters (e.g., reflectance and temperature) that are related to the type and condition of land cover features. This approach has evolved from over a decade of the author's teaching experience with undergraduate and graduate students and two decades of research and consulting experience on remote sensing problems for government and industry. Remote Sensing is ideal as a first text in remote sensing for graduate students and advanced undergraduates in the physical or engineering sciences, and will also serve as a valuable reference for the many practitioners of remote sensing throughout government and industry who were trained in the traditional technical disciplines and need to know how to better apply them to the remote sensing process.
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