O2S2: a new venue for computational geostatistics
Keywords
Statistical learning
Code:
37/2019
Title:
O2S2: a new venue for computational geostatistics
Date:
Monday 30th September 2019
Author(s):
Menafoglio, A.; Secchi, P.
Download link:
Abstract:
Applied sciences have witnessed an explosion of georeferenced data. Object oriented spatial statistics (O2S2) is a recent system of ideas that provides a solid framework where the new challenges posed by the GeoData revolution can be faced, by grounding the analysis on a powerful geometrical and topological approach. We shall present a perspective on O2S2, as a fruitful ground where novel computational approaches to geosciences can be developed, at the very interface among varied fields of applied sciences – including mathematics, statistics, computer science and engineering.
This report, or a modified version of it, has been also submitted to, or published on
Accepted for pubblication in "Applied Computing and Geosciences"
Accepted for pubblication in "Applied Computing and Geosciences"