Spatial Survey Data Modeling

Roberto Benedetti, Federica Piersimoni and Paolo Postiglione ()
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Roberto Benedetti: “G. d’Annunzio” University of Chieti-Pescara
Federica Piersimoni: Italian National Statistical Institute, ISTAT

Chapter Chapter 12 in Sampling Spatial Units for Agricultural Surveys, 2015, pp 305-325 from Springer

Abstract: Abstract The predictive approach and the analysis of survey data are two topics that have only attracted a small amount of attention when compared with the traditional approach of sampling from a finite population. Furthermore, spatial effects that are very important features in agricultural surveys are often neglected in the predictive approach to sampling, and in the analysis of survey data. The inclusion of spatial information could represent a very important challenge to be addressed by researchers in the near future. The main aim of this chapter is to properly emphasize these two different and important topics, trying to highlight the basic ideas for developing a unified approach for geographically distributed data.

Keywords: Finite Population; Good Linear Unbiased Predictor; Predictive Approach; Spatial Interpolation Method; Residual Standard Error (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-662-46008-5_12

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