Title: Sandbox – Creating and Analysing Synthetic Sediment Sections with R

Michael Dietze1, Sebastian Kreutzer2,3, Margret C. Fuchs4

1GFZ Potsdam, Germany; 2Geography & Earth Science, Aberystwyth University, Aberystwyth, Wales, United Kingdom; 3IRAMAT-CRP2A, UMR 5060, CNRS-Université Bordeaux Montaigne, Pessac, France; 4Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Institut Freiberg for Resource Technology, Freiberg, Germany

Event: GeoKarlsruhe 2021

Date: 2021

DOI: 10.48380/dggv-jhzx-0r05

Geoscientific concepts and hypotheses are usually formulated based on empirical data from the field or the laboratory (induction). After translation into models they can be applied to case study scenarios (deduction). However, the other way around – expressing hypotheses explicitly by models and test these by empiric data – is a rarely touched trail. There are several models tailored to investigate the boundary conditions and processes that generate, mobilise, route and eventually deposit sediment in a landscape. Thereby, the last part, sediment deposition, is usually omitted. Essentially, there is no model that explicitly focuses on mapping out the characteristics of sedimentary deposits – the material that is used by many disciplines to reconstruct landscape evolution. The R package sandbox is a model framework that allows creating and analysing virtual sediment sections for exploratory, explanatory, forecasting and inverse research questions. sandbox is a probabilistic and rule-based model framework for a wide range of possible applications. It has been advanced and linked to another model to allow the full work flow of modelling luminescence measurements. This contribution introduces news about recent developments and shows a set of applications.

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