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An easy-to-use guide to American regional folklore with advice on conducting research, regional essays, and a selective annotated bibliography. American Regional Folklore begins with a chapter on library research, including how to locate a library suitable for folklore research, how to understand a library's resources, and how to construct a research strategy. Mood also gives excellent advice on researching beyond the library: locating and using community resources like historical societies, museums, fairs and festivals, storytelling groups, local colleges, newspapers and magazines, and individuals with knowledge of the field. The rest of the book is divided into eight sections, each one highlighting a separate region (the Northeast, the South and Southern Highlands, the Midwest, the Southwest, the West, the Northwest, Alaska, and Hawaii). Each regional section contains a useful overview essay, written by an expert on the folklore of that particular region, followed by a selective, annotated bibliography of books and a directory of related resources.
A world list of books in the English language.
R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more.Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation.With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis. - Presents an introduction into using R for data mining applications, covering most popular data mining techniques - Provides code examples and data so that readers can easily learn the techniques - Features case studies in real-world applications to help readers apply the techniques in their work
This breathtakingly exciting book discovers Ireland, county by county, as you've never seen it before!
Remote Sensing of Soils: Mapping, Monitoring and Measurement covers the basic, theoretical and scientific concepts of multidisciplinary subjects, including sections that relate to soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management and the earth and environmental sciences. The book consists of defined elements to help guide the reader, including an abstract, introductions, a literature review, methodology, results and discussions, findings, recommendations and conclusions. Each chapter includes theoretical information that is illustrated with flow charts, tables, figures, diagrams and other related illustrations. Site-specific research and case studies are described throughout with geographical and demographical data, current scientific issues, impacts, solutions and societal benefits, thus providing readers from multi-disciplinary backgrounds the tools they need to successful map, analyze and monitor soils. - Covers multispectral, hyperspectral and SAR remote sensing analysis of soil properties, soil moisture, soil salinity, and soil organic matters, etc., in spatio-temporal scale - Includes a section on digital soil mapping, including integrated RS, GIS and insitu surveyed data analysis for digital soil mapping using widely accepted models and approaches - Ideal for readers in the soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management, and earth and environmental sciences
Just when you thought there was no hope of ever finding a comprehensive color-mixing resource for oil, acrylic, and watercolor artists, along comes the 1,500 Color Mixing Recipes for Oil, Acrylic & Watercolor! This collection of Walter Foster's bestselling Color Mixing Recipes books, including Color Mixing Recipes for Oil and Acrylic, Color Mixing Recipes for Portraits, Color Mixing Recipes for Watercolor, and the most recent addition, Color Mixing Recipes for Landscapes. This incredible collection comes in a user-friendly concealed spiral-bound format that is tabbed for quick and easy reference. Aspiring artists will also find two removable color mixing grids--one for oil or acrylic, and one for watercolor.
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso
This Technical Assistance Report on the Republic of Estonia highlights that public investment is a priority spending area, and Estonia is seeking to strengthen the efficiency and effectiveness of its capital expenditure from an already high level. Estonia’s public investment is relatively efficient, while further improvements should pay attention to the quality of public services enabled by them. Investment implementation is particularly strong. This reflects Estonia’s open procurement framework that utilizes an advanced e-procurement system, its modern treasury that employs an effective Treasury Single Account system to guarantee cash availability, asset monitoring that has been made routine through full accrual accounting for the whole public sector, and active project management by ministries. Some practices that are already effectively implemented should be formalized in the institutional design which will act as a safeguard. Public investment projects should be managed in an integrated portfolio at all stages of the investment cycle. It is difficult to obtain a picture of all-important investment projects pursued in the public sector including by local governments and state-owned enterprises. A comprehensive portfolio view of all projects supports transparent prioritization across sectors and the identification of systemic patterns or risks.