Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4959983 | European Journal of Operational Research | 2017 | 10 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Alessandra Menafoglio, Piercesare Secchi,