Sampling Spatial Units for Agricultural Surveys
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Beschreibung
The research and its outcomes presented here focus on spatial sampling of agricultural resources. The authors introduce sampling designs and methods for producing accurate estimates of crop production for harvests across different regions and countries. With the help of real and simulated examples performed with the open-source software R, readers will learn about the different phases of spatial data collection. The agricultural data analyzed in this book help policymakers and market stakeholders to monitor the production of agricultural goods and its effects on environment and food safety.
The research and its outcomes presented here focus on spatial sampling of agricultural resources. The authors introduce sampling designs and methods for producing accurate estimates of crop production for harvests across different regions and countries. With the help of real and simulated examples performed with the open-source software R, readers will learn about the different phases of spatial data collection. The agricultural data analyzed in this book help policymakers and market stakeholders to monitor the production of agricultural goods and its effects on environment and food safety.
Presents state-of-the-art methods and tools for spatial sampling of agricultural resources Provides examples of simulated and real data Includes the codes written in R for spatial data collection Includes supplementary material: sn.pub/extras
Autor*in
Roberto Benedetti
Themen in »Sampling Spatial Units for Agricultural Surveys«
Agricultural Statistics R Codes Regional Science Spatial Econometrics Spatial Sampling Spatial Statistics
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“This monograph presents a contemporary study of sample surveys by geographically distributed data in the agricultural sector. … Each chapter contains many dozen references up to the most recent sources. The monograph can be very helpful for lecturers, graduate students, and researchers using survey methods in general, and particularly in spatial agricultural studies.” (Stan Lipovetsky, Technometrics, Vol. 59 (1), February, 2017)
“This book is a meticulously organized treatise of applying spatial data methods to sample surveys (primarily in agriculture), with the computational engine powered by the R software. … It is mainly an intermediate-level reference book for graduate students and (agricultural) researchers to get introduced to the nuances of spatial statistics in survey sampling, and quickly move to hands-on computing. … If you are enamoured withthe versatility of R, I highly recommend buying it.” (Dipankar Bandyopadhyay, Journal of Statistical Software, Vol. 6, February, 2016)()