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2022 | OriginalPaper | Chapter

Visualization and Processing of Structural Monitoring Data Using Space-Time Cubes

Authors : Luigi Barazzetti, Mattia Previtali, Fabio Roncoroni

Published in: Computational Science and Its Applications – ICCSA 2022

Publisher: Springer International Publishing

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Abstract

This paper aims to analyze space-time cubes for visualizing and processing multi-temporal spatial monitoring data. The proposed case study is the Cathedral of Milan (Duomo di Milano), which has a set of monitoring time series spanning more than half a century. Differential vertical movements are periodically measured for the cathedral columns, constituting a continuous spatio-temporal dataset for structural health monitoring. More specifically, the space time pattern mining toolbox in ArcGIS Pro was used to (i) create a space-time cube and (ii) perform advanced analysis using the monitoring dataset, including time-series clustering and forecasting operations.

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Metadata
Title
Visualization and Processing of Structural Monitoring Data Using Space-Time Cubes
Authors
Luigi Barazzetti
Mattia Previtali
Fabio Roncoroni
Copyright Year
2022
Book
Computational Science and Its Applications – ICCSA 2022

Print ISBN: 978-3-031-10449-7

Electronic ISBN: 978-3-031-10450-3

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-031-10450-3_2

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