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Calibration with Spatial Data Constraints

  • Ivan Arcangelo Sciascia
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

We describe an approach that combines the calibrated estimation and the spatial data analysis. In particular we want to describe the possibility of using calibrated estimators when spatial constraints arise in the estimation process with respect to some information that were considered available instead. We describe some possible constraints that could emerge during the estimation procedure and we develop an example of a constrained situation where the constraints are on auxiliary information available and on the density of the units in the spatial domain considered.

Keywords

Geographic Information System Forest Resource Estimation Process Auxiliary Variable Auxiliary Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Dipartimento di Scienze Economico-Sociali e Matematico-StatisticheUniversità di TorinoTurinItaly

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