#7583. Non-parametric modelling and simulation of spatiotemporally varying geo-data

October 2026publication date
Proposal available till 20-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Building and Construction;
Safety, Risk, Reliability and Quality;
Geology;
Civil and Structural Engineering;
Geotechnical Engineering and Engineering Geology;
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Abstract:
Modelling and simulation of spatially or temporally varying geo-data play a pivotal role in the development of digital twins of civil infrastructures and smart cities. Measurements on geo-data are however often sparse, and it is challenging to model or simulate the spatiotemporally varying geo-data directly from sparse measurements. Non-parametric methods are appealing to tackle this challenge because they bypass the difficulty in the selection of suitable parametric models or function forms and offer great flexibility for mimicking complicated characteristics of geo-data in a data-driven manner.
Keywords:
compressive sensing; non-parametric methods; sparse data; Spatiotemporal variability; spectral representation

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