Agricultural Survey Methods

Beschreibung

Due to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data. This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of survey data are explored. Key features: * Brings together high quality research on agricultural statistics from experts in this field. * Provides a thorough and much needed overview of developments within agricultural statistics. * Contains summaries for each chapter, providing a valuable reference framework for those new to the field. * Based upon a selection of key methodological papers presented at the ICAS conference series, updated and expanded to address current issues. * Covers traditional statistical methodologies including sampling and weighting. This book provides a much needed guide to conducting surveys of land use and to the latest developments in agricultural statistics. Statisticians interested in agricultural statistics, agricultural statisticians in national statistics offices and statisticians and researchers using survey methodology will benefit from this book.

Autor*in

Roberto Benedetti

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Methoden der Daten- u. Stichprobenerhebung Statistics Statistik Survey Research Methods & Sampling

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"All over the world, agricultural surveys are conducted to gather alarge amount of information on the classic crops, yields,livestock, and other agricultural resources. The survey andanalysis methods have tended to be locally devised to meet local ornational conditions, cultures, and goals, but over the past fewyears, efforts have been made to establish methods that would allowcomparison and evaluation across national and cultural boundaries.A summary of that effort is provided here in 22 methodology papersselected from presentations at the International Conference onAgricultural Statistics in 1998, 2001, 2004, and 2007. They addressissues in census, frames, registers, and administrative data;sample design, weighting, and estimation; geographical informationsystems and remote sensing; data editing and quality assurance; anddata dissemination and survey data analysis. Mathematicians andeconomists looking toward agriculture, agricultural scientistslooking at statistics, and researchers and policy-making looking atthe intersection could all find the volume to be a valuablereference." (SciTech Book News, December 2010)
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