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This book of linked essays contains the first critical study of Baudelaire's development as a poet, from his youth onward. It also includes studies of the development of Baudelaire's aesthetic, detailed commentaries on a number of his finest poems, and accounts of three intriguing and crucial "encounters" with notable contemporaries. Three of the essays are previously unpublished and four very recent; the other eleven have been thoroughly updated, revised, and, in some cases, substantially expanded. Together, they constitute a new and important contribution to the understanding and appreciation of Baudelaire's work.
Explores the perception of nature in early 19th-century France. The book centres on a discussion of subjectivity and class and the way in which the process of looking at the countryside reinforced the identity of the metropolitan bourgeoisie - and especially men.
A novel, practical approach to modeling spatial uncertainty. This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume: * Reviews the most up-to-date geostatistical methods and the types of problems they address. * Emphasizes the statistical methodologies employed in spatial estimation. * Presents simulation techniques and digital models of uncertainty. * Features more than 150 figures and many concrete examples throughout the text. * Includes extensive footnoting as well as a thorough bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.
Reprint of the original, first published in 1870.