Sampling Spatial Units for Agricultural Surveys [Hardcover]

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.Preface.- 1 Essential Statistical Concepts, Definitions, and Terminology.- 2 Overview and Brief History.- 3 GIS: The Essentials.- 4 An Introduction to Remotely Sensed Data Analysis.- 5 Setting Up the Frame.- 6 Sampling Designs.- 7 Spatial Sampling Designs.- 8 Sample Size and Sample Allocation.- 9 Survey Data Collection and Processing.- 10 Advances in Sampling Estimation.- 11 Small Area Estimation.- 12 Spatial Survey Data Modeling.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 with the versatility of R, I highly recommend buying it. (DipankarlS*