@article{ref1,
title="Statistical analysis of complex and spatially dependent data: a review of object oriented spatial statistics",
journal="European journal of operational research",
year="2017",
author="Menafoglio, Alessandra and Secchi, Piercesare",
volume="258",
number="2",
pages="401-410",
abstract="We review recent advances in Object Oriented Spatial Statistics, a system of ideas, algorithms and methods that allows the analysis of high dimensional and complex data when their spatial dependence is an important issue. At the intersection of different disciplines - including mathematics, statistics, computer science and engineering - Object Oriented Spatial Statistics provides the right perspective to address key problems in varied contexts, from Earth and life sciences to urban planning. We illustrate a few paradigmatic methods applied to problems of prediction, classification and smoothing, giving emphasis to the key ideas Object Oriented Spatial Statistics relies upon.<p /> <p>Language: en</p>",
language="en",
issn="0377-2217",
doi="10.1016/j.ejor.2016.09.061",
url="http://dx.doi.org/10.1016/j.ejor.2016.09.061"
}